Total 641 data entry job vacancies in Hong Kong

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills

Role Overview
A banking institution is looking for a Data & Analytics Engineer to support AI-driven operations analytics, with a focus on log analysis, incident insights, and data modelling for intelligent operations. This role sits at the intersection of data engineering, analytics, and AI enablement.

Key Responsibilities

Data Engineering & Pipelines

• Design and build data pipelines for logs, incident records, and infrastructure metrics

• Integrate with log aggregation and monitoring platforms

• Structure and prepare data for AI and analytics consumption

AI-Driven Analytics

• Enable log correlation and intelligent reasoning using AI tools

• Collaborate with AI teams to feed structured data into machine learning models

Operations Analytics Use Cases

• Deliver analytics for incident management, storage and infrastructure metrics, and log monitoring insights

Dashboard & Visualisation

• Build dashboards using business intelligence and monitoring tools

• Present insights to leadership and support demo and rollout activities

Data Modelling & Governance

• Design data models for operational analytics

• Ensure data quality, consistency, and scalability across solutions

Requirements

Technical Skills

• Strong experience in SQL and data modelling

• Hands-on experience with ETL and data pipelines

• Proficiency with business intelligence tools (e.g., Power BI or similar)

• Experience with log and monitoring platforms (e.g., Elastic, Splunk, or similar)

• Exposure to AI/ML concepts or LLM integration
  

  Interested candidates please email your latest resume to subagio@tangspac.com

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates.
• Installing/de-installing/extending/relocating/testing all carrier circuits to the network hardware.
• Installing/de-installing/relocating all patch cabling for systems and network hardware.
• Installing/de-installing/relocating all Data Center hardware.
• Assist with the coordination of cabinet power, circuit and patch infrastructure installations with various facilities, electrical and communications vendors.

Skills/Requirement

• Experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments.
• In-depth knowledge of complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol is a must.
• Excellent communication and writing skills are a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem-solving techniques and associated experience in system, data center facilities and telecommunications.
• Experience with project management.
• Financial Services industry knowledge is a plus.

Key Responsibilities

• Process and prepare data files for printing (e.g., formatting, validation, sorting)
• Operate and monitor printing systems and related software
• Ensure accuracy and completeness of data before print production
• Troubleshoot basic system, file, or print issues
• Maintain logs and records of processed jobs
• Perform file conversions (e.g., PDF, CSV, print-ready formats)
• Coordinate with design, production, or customer teams as needed
• Adhere to data security and confidentiality standards
• Meet deadlines for high-volume print jobs
• Knowledge of PrintSoft and Excel will be added advantage.

Data / ML Intern, BenefitBee

BenefitBee is a stealth-stage startup based in the US and Singapore, building AI-native infrastructure for the employee benefits world. The founding team has built and scaled venture-backed companies and brings operating experience from places like Wish, Meta, Blackrock and Mercer. If you join, you'll be learning directly from founders and operators who have done this at a serious scale.

Our vision
Employee benefits is a massive, deeply manual industry that still runs on PDFs, spreadsheets, and email. We think the entire workflow can be rebuilt around AI, turning messy, unstructured documents into structured intelligence that helps people make faster, better decisions. We're early and moving fast, and the people who join now will help shape both the product and the company.

What you'll work on

• Build Python pipelines to extract and clean unstructured text from insurance, medical, and academic documents

• Convert raw text into standardized schemas (JSON) that feed our downstream analytics

• Develop models to surface trends in claims, renewals, and preventative care outcomes

What we're looking for

• Pursuing or completed a degree in Data Science, CS, Math, Biomedical Engineering, or Bioinformatics

• Solid Python and a real grasp of evaluation metrics (Accuracy, AUC, F1, etc.)

• Hands-on experience parsing text from PDFs, spreadsheets, and other unstructured sources

• Bonus: you've wrangled genuinely ugly documents before and lived to tell the tale

You'll work directly with the founding team, ship things that go into the actual product, and see how an experienced team builds a company from zero.

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

We are seeking an experienced Data Architecture & Innovation specialist to drive enterprise-wide data and innovation initiatives across the organization.

This role will be responsible for shaping the enterprise data landscape, governing data architecture, evaluating emerging technologies, and driving business transformation through innovative solutions. The successful candidate will work closely with business and technology stakeholders to deliver scalable, future-ready platforms and improve operational efficiency.

Key Responsibilities

Data Architecture & Technology Innovation

• Define and govern enterprise data architecture, including Data Fabric and integration frameworks.
• Evaluate and implement emerging technologies such as AI, IoT, automation, and advanced analytics platforms.
• Drive enterprise-wide data transformation initiatives and technology adoption.

Data Platforms & Integration

• Oversee the architecture and integration of enterprise data platforms and interfaces.
• Collaborate with internal teams and technology partners to ensure scalable, secure, and efficient data solutions.
• Establish best practices for data integration, interoperability, and platform governance.

Business Transformation & Process Optimisation

• Identify opportunities to improve business processes through technology, automation, and AI-driven solutions.
• Lead initiatives to improve operational efficiency and deliver measurable business value.
• Develop and execute innovation roadmaps aligned with business objectives.

Stakeholder & Vendor Management

• Partner closely with business, IT, and external vendors to deliver strategic technology initiatives.
• Present recommendations, architecture designs, and innovation strategies to senior management.
• Manage vendor engagements, project deliverables, and implementation activities.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 7 years of experience in Data Architecture, Enterprise Architecture, Data Platforms, or Technology Innovation.
• Strong experience in enterprise data architecture, data platforms, and integration technologies.
• Experience with Data Fabric architectures, data integration frameworks, and enterprise data ecosystems.
• Good understanding of emerging technologies such as AI, automation, IoT, and advanced analytics.
• Experience with analytics and visualization tools such as Tableau and Power BI will be advantageous.
• Strong stakeholder management, communication, and project leadership skills.
• Experience in process optimisation, digital transformation, or enterprise innovation initiatives is highly preferred.

Preferred Skills

• Knowledge of automation technologies and RPA solutions.
• Familiarity with enterprise architecture principles and governance frameworks.
• Exposure to Lean, Six Sigma, or process improvement methodologies will be an advantage.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

· 6–8 years of experience in Big Data / Data Platform Engineering in enterprise environments.

· Strong hands-on experience with:

o    Hadoop ecosystem (HDFS, YARN, MapReduce, HDP)

o    Apache Kafka (high-throughput environments)

o    Redis and MongoDBclusters

o    OpenSearch Elasticsearch

o    Apache NiFi

o AWS EMR + good knowledge of AWS Cloud.

· Strong expertise in Linux system administration and scripting (Shell/Python)

· Experience with Kerberos, data security, and access governance

· Proven experience in handling high-volume, low-latency systems (preferably payments/trading)

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

About the Role

The Data Governance Lead plays a pivotal role in shaping and operationalizing enterprise data governance, ensuring our data is well managed, compliant, secure, and ready to power analytics, AI, and digital innovation. This role combines high-level strategic planning with hands-on execution, requiring you to drive data governance adoption across business and technology teams, strengthen data quality, and embed regulatory aligned controls into day-to-day operations.

Responsibilities

• Responsible for establishing and implementing enterprise-wide data governance frameworks, system, policies, and process as regard to the governance, use and analysis of data.
• Translate governance strategy into practical operating models, processes, and controls across the bank.
• Establish and maintain data ownership andstewardship structures across business domains.
• Drive adoption of governance practices withmeasurable improvements in data quality, trust, and compliance.
• Lead governance forums and working groups totrack progress, escalate risks, and resolve issues.
• Define and enforce data quality standards(accuracy, completeness, timeliness, consistency).
• Oversee data quality monitoring, issue management, and remediation workflows.
• Strengthen metadata management, including data cataloguing, lineage, classification, and business glossaries.
• Implement data lifecycle, retention, archival, and disposal policies aligned with MAS and PDPA requirements.
• Ensure governance practices meet MAS guidelines, PDPA, outsourcing requirements, and internal risk frameworks.
• Partner with Risk, Compliance, Legal, and Internal Audit to ensure audit readiness and regulatory compliance.
• Support documentation, traceability, and lineage requirements for regulatory reporting.
• Support implementing AI governance and responsible AI practices.
• Ensure data used for AI/ML is well‑classified, high‑quality, and compliant with ethical and regulatory expectations.
• Partner with business, technology, and operations teams to embed governance into daily processes.
• Provide training, communication, and guidance to uplift data literacy and governance awareness.
• Influence senior stakeholders to prioritise data governance and drive behavioural change.
• Support the rollout and adoption of data governance tools (e.g., data catalogues, quality platforms).
• Promote automation and digitalisation of governance workflows to improve efficiency and transparency.

Requirements

• 8-12 years of experience in data governance, data management, risk, or compliance, preferably in financial services or regulated environments.
• Strong understanding of data risk areas(quality, privacy, security, access, retention).
• Experience implementing governance frameworks, policies, and standards.
• Proven ability to work with cross functional stakeholders across business and technology.
• Familiarity with MAS regulatory expectations, PDPA, and cloud-based data platforms.
• Strong analytical, communication, and stakeholder management skills.
• Experience in digital banking, wholesale banking, or fintech environments.
• ·Exposure to AI/ML governance, data lineage tools, or metadata platforms.
• Certifications such as CDMP, DCAM, TOGAF, or equivalent is a plus

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com.

· Background in engineering, computer engineering, computer science, mathematics, statistics, or equivalent.

· Strong technical knowledge in AI

· Good understanding of the latest research and technologies in AI for productiondeployment

· Strong coding experience in programming languages such as Python and/or C++

· Experience working with libraries for data manipulation, visualization, machine learning, and reporting.

· Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch

· Extensive experience with OpenAI and Claude code-based prompt engineering.

· Hands-on experience developing and deploying AI agents, RAG and vector/graph databases.

· Strong understanding of 3D geometry, vector math, and coordinate systems

· Experience with algorithms for mesh manipulation, Boolean operations, and geometrictransformations

· Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)

· Team player with the ability to work in a cross-functional team with excellent interpersonal skills

· Strong communication skills, both verbal and written, as well as strong presentation and engagement skills

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

About Us:

Tentacle Tech is an IT and software development consulting company serving some of Malaysia's largest enterprises. We deliver technology solutions, software development services, and IT consulting across multiple industries. We are looking for a talented professional to join our growing team in the technology sector.

The Role:

We are seeking an experienced Technical Architect – Data & AI to design and lead the implementation of enterprise-scale Data, Analytics, AI, and Generative AI solutions within the technology sector. You will bridge business requirements and technology, collaborating with stakeholders, data engineers, data scientists, and cloud architects to deliver scalable, secure, and innovative data-driven outcomes.

What You'll Do:

• Define end-to-end architecture for Data, Analytics, Machine Learning, AI, and Generative AI solutions
• Design data platforms, data lakes, data warehouses, and modern lakehouse architectures
• Architect batch and real-time data ingestion pipelines and ETL/ELT frameworks
• Design Generative AI applications using LLMs, RAG, vector databases, and prompt engineering
• Build and establish MLOps and LLMOps practices for deployment, monitoring, and governance
• Design cloud-native solutions on AWS, Azure, or Google Cloud, covering security, performance, and cost optimisation
• Engage stakeholders and present architecture solutions to executive and project teams

What We're Looking For:

• Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field
• 10+ years of IT experience with at least 3+ years in Solution Architecture
• Strong hands-on experience designing enterprise Data and AI solutions
• Proficiency with cloud platforms (AWS, Azure, or GCP) and associated managed services
• Experience with data technologies including Snowflake, Databricks, Azure Synapse, and Microsoft Fabric
• Hands-on knowledge of Python, SQL, Spark/PySpark, and DevOps/MLOps tooling (Docker, Kubernetes, Terraform, MLflow)

• Familiarity with Singapore Government technology standards, GCC environments, and GovTech governance frameworks is highly advantageous

What We Offer:

• Competitive salary
• Exposure to cutting-edge Data and AI technologies at enterprise scale
• Career progression opportunities within a growing technology consultancy
• Mentorship and knowledge-sharing with experienced technical leaders
• Collaborative and supportive team environment

How to Apply

Apply now with your latest CV or reach out to our recruitment team to learn more.

Responsibilities:

• To support and deliver any activities which required 24x7
• To support Service Request, Incident and Change activities
• To support and deliver requested Daily Infra Operations activities
• To support and deliver requested Environment Operations activities
• To support and deliver requested task from Projects team
• To support and deliver requested task from IT Initiative Projects
• To support, coordinate, monitor and supervise any external vendor working in restricted facilities

Requirements:

• Minimum of 1-3 years hands-on experience in providing Data Center support
• Minimum 1-3 years of cabling experience (preferably structured cabling)
• Degree or diploma in IT would be an advantage
• Ability to work independently with minimal supervision
• Able to communicate messages clearly and concisely
• Ability to maintain high-quality performance and constantly deliver results in a timely manner

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented