Total 863 data entry job vacancies in Information Technology category in Hong Kong

Role Summary

We're currently looking for an Operation Data Analyst to join our Region Team in Indonesia to support the Operation Team. As a Laku6 Operation Data Analyst, you will have the opportunity to work with big data, perform analysis, and generate valuable insights to drive operational improvements. Additionally, you will contribute to the development of Google Data Studio dashboards to effectively visualize and communicate data-driven findings. This position is ideal for someone with a passion for data analysis, a strong analytical mindset, and an interest in operations management.

Key Responsibilities:

In this role, your daily responsibilities will include:

• Warehouse & Logistics Analytics: Analyze comprehensive warehouse and logistics operational data, focusing on end-to-end metrics ranging from cost efficiency to overall productivity.

• Finance & Billing Management: Manage, process, and submit all warehouse and logistics-related invoices, bills, and payment requests to the Finance team in a timely and accurate manner.

• Direct Operational Support: Provide hands-on assistance and support for daily operational processes in the warehouse whenever required.

• Collect, clean, and analyze large datasets to identify trends, patterns, and opportunities for operational optimization.

• Conduct in-depth analysis of key performance indicators (KPIs) to assess operational efficiency and effectiveness.

• Collaborate with cross-functional teams to understand data requirements and develop analytical frameworks that align with business objectives.

• Interpret complex data sets and communicate actionable insights to stakeholders through clear and concise reports, presentations, and visualizations.

• Assist in the development and maintenance of Google Data Studio dashboards, ensuring data accuracy, visualization effectiveness, and user-friendly interfaces.

• Support the implementation of data-driven decision-making processes within the operations team.

• Stay updated on industry trends, best practices, and emerging tools in data analysis and visualization.
  
   

  What will you gain from this:

• Hands-on Experience: Gain practical experience in working with big data, analyzing datasets, and extracting insights to drive operational improvements.

• Data Analysis Skills: Develop strong data analysis skills by working with large datasets, performing data cleaning and manipulation, and applying statistical techniques.

• Data Visualization: Enhance proficiency in data visualization by contributing to the development of Google Data Studio dashboards, effectively communicating data-driven findings to stakeholders.

• Problem-solving Abilities: Enhance problem-solving skills by identifying trends, patterns, and opportunities for operational optimization through data analysis.

• Exposure to Operations Management: Gain exposure to the field of operations management, including areas such as process improvement, performance metrics, and operational efficiency.

• Mentorship and Learning: Receive guidance and mentorship from experienced professionals in the field, allowing for personal and professional growth.

   

The Career Conversion Programme (CCP) (Attach-and Train) for Advanced Biopharmaceuticals Manufacturing Executives/Professionals is a talent development programme aimed at building the next generation of skilled manpower for Singapore’s Biopharmaceuticals manufacturing industry in anticipation of hiring demand. 
 

The training programme consists of 15 months of local attachment with GSK. Due to the nature of the programme, we can only consider Singapore Citizens and Singapore Permanent Residents. Due to the nature of this traineeship programme, kindly note that training allowances are CPF exempted.

For more information, please visit: https://www.wsg.gov.sg/home/individuals/attachment-placement-programmes/career-conversion-programmes-for-individuals
Please apply for the role here: https://jobs.gsk.com/en-gb/jobs/437451

Role Description:

The role has the accountability to ensure that quality compliance standards are defined, established and maintained on site in accordance with both internal (corporate) and external regulatory expectations on current Good Manufacturing Practices (cGMP).

Trainee to be involved in:

• Establish/maintain quality compliance standards consistent with Quality Management System (QMS) by providing support in areas such as:

- Reviewing site policies, procedures and training materials related to quality system

- Providing advisory support to business on compliance area

• Provide QA consultation with stakeholders to resolve issues on Document and Data Management

• Manage quality related Key Performance Indicator (KPI), including data collation, regular KPI metrics reporting and identification of issues and opportunities for improvements in site quality performance

• Ensure the effective implementation of the GMP and Data Integrity training

• Steer and/or implement compliance initiatives, standardization of quality systems across key quality systems and quality improvement projects

Education / Requirements:

• Graduated with a Bachelor's Degree in a relevant science discipline

• Relevant experience in the pharmaceutical industry is a bonus

• Preferably with experience in Quality functions

Competencies / Skills:

• Good knowledge of quality and manufacturing process

• Good interpersonal and influential skills

• Good oral and written communication skills

• Growth mindset

• Project Management skill

• Analytical thinking

• Teamwork

• Integrity

• Eye for details

What do we offer?

• Monthly training allowances (not subject to CPF contributions)

• On-the-job training while working with a diversified team of professionals 

• Understand and experience the GSK Culture 

• Implement technical knowledge and skills that you have acquired

• Apply and develop soft skills such as interpersonal, communications and negotiation skills 

• Transport to and from site to MRT stations in centralised locations all across Singapore  

Where will I be based?

You will be based at one of our manufacturing site in Singapore near Jurong.

Get to Know the Team

You'll join the Data Science team focused on grocery and retail services across our region. The team builds intelligent systems that make shopping more intuitive—from predicting what customers need before they search, to ensuring fresh groceries arrive on time. We work with Engineering, Product, and Operations teams to turn complex data challenges into practical solutions that serve millions of customers and merchant partners daily.

Get to Know the Role

You'll own data science projects from problem definition through to production deployment. Your work will directly shape how customers discover products, how we predict demand across neighbourhoods, and how we balance supply with real-time demand. You'll architect ML solutions, build predictive models, and deploy services that operate at scale. You'll also guide the team's technical direction and contribute to our research and IP portfolio.

The Critical Tasks You will Perform

You will:

• Architect and deploy agentic AI systems that predict shopping intent and power autonomous shopping assistants—allowing conversational discovery, automated reordering, and personalised recommendations for grocery and retail customers.
• Build spatio-temporal demand forecasting models that process complex signals (transactional, behavioral, and geospatial data) to generate granular SKU-level predictions across multiple time horizons—optimizing inventory positioning and reducing stock-outs and waste.
• Develop supply-demand balancing algorithms that use contextual signals to adjust platform visibility and nudge demand—allowing real-time optimization of merchant and driver supply allocation across neighbourhoods.
• Create predictive models for order lifecycle reliability that identify high-risk orders prone to cancellation, predict fulfillment failures due to inventory gaps, and flag transactions requiring proactive intervention—safeguarding the end-to-end delivery experience.
• Design customer targeting and segmentation models that decode unique shopping patterns to identify underserved customer segments—driving sustainable demand growth through intelligent automated targeting.
• Establish ML production standards by implementing versioning, automated testing, and performance monitoring for ML pipelines—ensuring model reliability and allowing iteration.
• Lead technical roadmap development by evaluating latest methodologies, contributing to research publications, and building intellectual property that advances our AI capabilities in commerce.

Location: One-north

Working Hours: Mon-Thur : 830am - 6pm, Fri : 830am - 530pm

Job details:

• Develop dashboards and trackers to monitor overall performance achievements and incident rates.
• Provide administrative support
• Help with planning activities, prepare reports, assist with various office administrative tasks.
• To participate in ad-hoc HR projects, helping to organize and coordinate activities and support other process improvements initiatives.

Job requirements:

• Min Diploma in Human Resources, Business Analytics, Statistics, or related fields.
• Prior internship or work experience in HR or data-related roles is a plus.
• Strong proficiency in Microsoft Excel (pivot tables, VLOOKUP, charts) and PowerPoint
• Strong attention to detail and analytics skills.
• Good communication and interpersonal skills.
• Organised, proactive, and able to work independently with minimal supervision.

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Due to a number of project wins, seeking a Data Centre Architect to join our high-performing and diverse Urbanism + Planning team. This is a rare opportunity to combine leadership, client engagement and project delivery at scale, while contributing to some of Australia’s most impactful mission critical Data Centre projects.

This role can be based in Melbourne, Sydney, Brisbane or Canberra.

How you’ll make a difference:

• Provide project leadership and technical oversight on a range of Data Centre projects — guide multidisciplinary teams through complex architectural commissions, set clear design direction, and collaborate closely with our Brisbane colleagues to drive successful outcomes.
• Drive excellence in project delivery by overseeing major Data Centre initiatives and projects ensuring design quality, innovation, and outstanding client satisfaction.
• Partner with sector leads to win major pursuits, deepen client relationships, and position the firm as the partner of choice for large-scale, technical projects.
• Champion design and technical standards by delivering sustainable, innovative solutions, coordinating multidisciplinary inputs, and mentoring staff to elevate studio-wide capability.
• Strengthen business performance through effective resource allocation, budget and risk management, and contribution to strategic growth and market positioning of our architecture offering.

Job Description & Requirements

We are looking for a motivated Hadoop Engineer with 3 years of hands-on experience in managing Cloudera Hadoop environments.

Key Responsibilities

• Optimized Hadoop algorithms
• Monitor Hadoop cluster performance and ensure service availability
• Handle incident management and perform vendor log collection for Cloudera products
• Execute application stop-start and configuration requests as per operational needs
• Perform job failure analysis queue management and resource allocation
• Perform NiFi template migrations
• Contribute to backup and recovery operations for critical datasets
• Participate in Cloudera minor version upgrades and hotfix deployment under supervision
• Support DR drill activities and synchronization between production and DR environments
• Monitor platform using Cloudera Manager Grafana and ELK dashboards

Required Skills Experience

• 3 years experience with the Hadoop ecosystem HDFS YARN Hive Spark Oozie
• Basic understanding of Cloudera Manager
• Proficient in shell scripting
• Familiar with Kerberos authentication Ranger security and user access management
• Understanding of patch management and platform upgrade workflows
• Programming of Python or Ansible scripting for automation
• Experience in CICD based cluster operations
• Familiarity with AWS or Azure based Hadoop deployments

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Scientist

Responsibilities:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities

Requirements:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

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Interested applicants can also email CV at asmita@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Scientist"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

By applying for this role, you have read and acknowledge the Data Privacy statement - http://www.nsearchglobal.com/data-protection-notice/

1.     Data Pipeline Development & Management

·      Design, build, and maintain robust data pipelines usingAWS Glue

·      Implement ETL/ELT processes for data ingestion frommultiple sources

·      Optimize data workflows for performance and scalability

·      Monitor and troubleshoot data pipeline failures andperformance issues

2.     Data Infrastructure & Engineering (with IPOS ITDepartment)

·      Manage and optimize AWS Redshift data warehouse operations

·      Configure and maintain data storage solutions (AWS S3,data lakes)

·      Implement data partitioning, indexing, and compressionstrategies

·      Support Infrastructure as Code (IaC) for datainfrastructure deployment

3.     CI/CD & DevOps for Data (with AWS partners and IPOS ITDepartment)

·      Develop and maintain CI/CD pipelines for data workflowsusing GitLab

·      Implement automated testing for data pipelines and dataquality

·      Support version control and deployment strategies for dataassets

·      Configure AWS Lambda functions for data processingautomation

4.     Monitoring & Support (with IPOS IT Department)

·      Set up monitoring and alerting for data pipeline health

·      Provide technical support for data-related issues

·      Collaborate with technical teams on data architecturerequirements

·      Optimize query performance and database operations

5.     Documentation & Reporting (with IPOS IT Department)

·      Document data pipeline architectures and technicalspecifications

·      Maintain runbooks and operational procedures

·      Conduct monthly progress meetings (1 hour) to report onsystem health

·      Track engineering tasks through SHIP-HATS Jira

·      Maintain technical documentation on SHIP-HATS Confluence

RequiredSkills & Experience:

·      Strong background in data engineering and data pipelinedevelopment

·      Proficiency in SQL, Python, and shell scripting

·      Extensive experience with AWS data services (Redshift, S3,Glue, Lambda, CloudWatch)

·      Data warehouse design and optimization experience

·      Strong CI/CD pipeline knowledge (GitLab preferred)

·      Infrastructure as Code (IaC) experience (Terraform,CloudFormation)

·      Knowledge of data modeling and database design principles

·      Strong troubleshooting and performance optimization skills

Thankyou!

Engineering Leadership & Strategy

• Define and drive overall engineering strategy, architecture, and technical roadmap
• Establish best practices in system design, coding standards, testing, and deployment
• Ensure scalability, performance, and reliability of all systems
• Evaluate and adopt new technologies to improve engineering capabilities

Team Management & Development

• Lead, mentor, and grow a team of engineers across multiple squads
• Set clear goals, KPIs, and performance expectations for team members
• Conduct performance reviews and provide continuous feedback
• Coach team members in both technical and soft skills
• Build a strong engineering culture focused on ownership, collaboration, and quality
• Lead hiring process including interviewing and evaluating candidates

Technical Oversight

• Oversee system architecture including frontend, backend, and infrastructure
• Review and guide implementation of complex features and systems
• Ensure code quality through code reviews, testing strategies, and best practices
• Troubleshoot and resolve critical technical issues and production incidents
• Ensure systems are maintainable, reusable, and scalable

Product & Cross-functional Collaboration

• Work closely with Project Managers, Designers, and QA to deliver high-quality products
• Translate business requirements into scalable technical solutions
• Drive alignment between engineering and business goals

Delivery & Execution

• Oversee project timelines and ensure timely delivery of milestones
• Improve development processes to increase speed and efficiency
• Ensure proper planning, prioritization, and execution across teams
• Monitor and improve development lifecycle (CI/CD, testing, release process)

• 8+ years in software engineering with 3+ years in leadership roles
• Strong hands-on experience in ReactJS, Next.js, and backend (NestJS, Ruby or similar)
• Solid understanding of system design, microservices, scalability, and performance optimization
• Experience with databases (PostgreSQL, NoSQL) and caching mechanisms
• Familiar with testing practices (Unit, Integration, E2E)
• Experience with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes)
• Strong knowledge of Git and modern development workflows
• Proven ability to lead teams, deliver projects, and drive engineering excellence

• Hybrid work
• Health insurance
• Annual health check
• Laptop and other equipments
• Grab transportation credit
• Education allowance
• Performance bonus

• Thực hiện kiểm tra tình trạng hoạt động của các thiết bị giám sát.

• Giao tiếp và phối hợp với khách hàng tại Pháp để cấu hình các cảm biến.

• Xử lý dữ liệu thô đã thu thập, phân tích dữ liệu để dự báo các vấn đề tiềm ẩn hoặc bất thường.

• Chuẩn bị và gửi báo cáo định kỳ (ngày, tuần, tháng).

• Đảm bảo chất lượng dữ liệu theo yêu cầu của dự án.

What a Senior Data Scientist does at Visa:

• Executing multiple medium to large analytic projects along with rest of the stakeholders in analytics & consulting teams
• Establishing best practices for change management, model automation and production rollout
• Familiarity with batch processing and process monitoring for model refresh
• Meeting with clients to explain model results, answer questions and propose further analysis
• Collaborating closely with clients to analyze clients’ data, extract insights, and create dashboards
• Actively seek out opportunities to improve processes and technologies
• Collaborating with the internal teams to fully understand business requirements and desired business outcomes
• Defining detailed analytic scope and methodology, and creating an analytic plan
• Executing with appropriate statistical and machine learning techniques
• Providing thought leadership in both using data to solve business problems and arriving at innovative technology and statistical solutions
• Ensuring project delivery within timelines and budget requirements
• Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Data Analytics Engineer (Contract)

Location: Singapore

Contract Type: 12-months Contract (Extendable & Convertible)

Keywords: Data Transformation, Data Architecture, Qlik Sense, Qlik Cloud, Snowflake, SQL, Python, Cloud (AWS/Azure), Data Governance, Analytics

Company / Role Overview

A well-established consumer retail organisation is looking to hire a Data Manager to support ongoing data transformation and analytics initiatives. This is a hands-on individual contributor role focused on building scalable data pipelines, managing cloud-based data platforms, and enabling business intelligence capabilities across the organisation. The role sits within the technology function and reports directly to the Head of Technology, working closely with business stakeholders to deliver reliable, high-quality data solutions. Exposure to AI-driven use cases is beneficial, particularly where data solutions have been embedded into operational workflows.

Key Responsibilities

• Design and implement end-to-end data pipelines, covering ingestion, transformation, modelling, and delivery
• Develop and maintain scalable cloud-based data architectures to support reporting, analytics, and evolving AI use cases
• Prepare structured, high-quality datasets to enable business intelligence and advanced analytics
• Act as the technical owner of enterprise data platforms, ensuring performance, stability, and continuous improvement
• Configure and manage data warehouse and analytics environments, including troubleshooting and optimisation
• Implement and maintain data governance standards, including data quality checks, validation rules, and documentation
• Support development of dashboards and reporting layers, improving accessibility and usability of data for business users
• Work closely with stakeholders to translate business needs into practical data solutions and promote self-service analytics

Job Requirements

Must-Have:

• 4–5 years of experience in data engineering, data analytics, or data platform roles
• Proven experience working on data transformation or data platform initiatives in an enterprise environment
• Hands-on experience with Qlik Sense and/or Qlik Cloud for analytics and reporting
• Strong proficiency in SQL and experience with data transformation tools
• Experience working with cloud-based data platforms (e.g. Snowflake or equivalent)
• Familiarity with cloud environments such as AWS and/or Azure
• Strong ownership mindset with the ability to work independently and manage multiple priorities

Nice-to-Have:

• Experience integrating AI or machine learning outputs into business workflows (not just exposure)
• Familiarity with Python or similar languages for data processing or analytics use cases
• Experience with additional BI tools such as Power BI or Tableau
• Exposure to data governance practices including lineage, quality, and compliance
• Background in retail or consumer-driven environments
• Demonstrated career stability (e.g. longer tenures in prior roles)

If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.

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

Data Pipeline Development & Operations
• Design, build, and operate scalable and reliable data pipelines on the Databricks platform
• Develop end-to-end data workflows from ingestion through transformation to consumption
• Implement robust error handling, monitoring, and alerting mechanisms
• Ensure data pipeline reliability, performance, and maintainability
• Optimize pipeline performance through efficient Spark job design and cluster configuration
• Manage and orchestrate complex data workflows using Databricks Jobs and workflows

Legacy Code Modernization
• Refactor legacy code and data pipelines to PySpark for improved performance and scalability
• Migrate traditional ETL processes to modern ELT patterns on Databricks
• Assess existing codebases and identify opportunities for optimization and modernization
• Ensure backward compatibility and data integrity during migration processes
• Document refactoring approaches and create migration playbooks
• Collaborate with stakeholders to minimize disruption during code transitions

Data Engineering Excellence
• Implement data quality checks and validation frameworks
• Design and maintain Delta Lake tables with appropriate optimization strategies
• Develop reusable code libraries and frameworks for common data engineering tasks
• Follow software engineering best practices including version control, testing, and CI/CD
• Participate in code reviews and provide constructive feedback to team members
• Troubleshoot and resolve data pipeline issues in production environments

Collaboration & Knowledge Sharing
• Work closely with data architects, analysts, and business stakeholders
• Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams
• Share knowledge and best practices with Team NCS
• Mentor junior data engineers on PySpark and Databricks technologies
• Document technical solutions and maintain comprehensive documentation

Essential Technical Skills
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation

Additional Technical Skills
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies

Professional Experience
• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments

Required Certifications – mandatory to have at least one
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery