Total 1,336 data entry job vacancies in Information Technology category in Singapore

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Scientist

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 1 year, renewable.

Internal Code: A26126

This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year

What will you do?

As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions.

You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

• 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 for EDB 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

What are we looking for?

• 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)
• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description:

1. Must have experience in data centre deployments, building large-scale infrastructure.
2. Knowledge of network routing and switching concepts and protocols including BGP, TCP/IP, VLAN, ISIS, OSPF, and MPLS
3. Comfortable accomplishing basic tasks from Linux/Unix command line interface
4. Demonstrated ability to analyse complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure.
5. Experience with Service Provider network hardware platforms and architectures including routers/switches and data center switching platforms is preferred (Good to have)
6. Experience with field-based work in data centers

Summary of the Job

• To accurately input, update, and maintain data in company systems and records, while ensuring materials and transactions are correctly matched to the respective production orders, supporting data integrity and operational efficiency.

Job Responsibilities:

1) Data Entry & Record Managemnt

• Enter data into systems (ERP, QC Apps)

• Perform data verification and cross- checking to minimise errors and discrepancies.

• Generate daily, weekly, and monthly QC data reports as required by the QC team.

2) Material & Production Order Verification

• Cross-check:
  - Production Order Number
  - Item/ Part Number
  - Quantity
  - Ensure no mismatch between materials and system records

3) Communicate with production, warehouse, and relevant departments to clarify missing or incorrect data

4) Generate daily handover report for QC to Warehouse and secondary process

5) Assist leader on job order closing, timesheet update using ERP

6) Other duties as and when assigned

Job Requirements:

• Secondary/ NTC in Engineering and above

• At least 1 year experience in Data entry/ documentation control

• Knowledge of MS Office

• Ability to communicate orally in English language and produce written documentation with clearly organized thoughts

• Self-motivated, highly resourceful, and organized

We are seeking an experienced DCS Engineer to support the design review, planning, and delivery of mission‑critical data centre infrastructure.

The role focuses on validating data centre layouts, power, cooling, and cabling designs, reviewing vendor submissions, and coordinating implementation to ensure compliance with standards and regulatory requirements. You will work closely with vendors, contractors, and internal operations teams in high‑availability environments.

Requirements:

• Degree in Engineering (Electrical / Mechanical / Computer or related)
• Minimum 5 years’ experience in data centre design, planning, or infrastructure delivery
• Strong knowledge of rack layouts, cabling, power, and cooling systems
• Experience engaging vendors and managing delivery
• Familiarity with mission‑critical data centre standards
• Certifications such as CDCDP, ATD, CDCE, CDCMP, or PE are an advantage.

We regret to inform you that only shortlisted candidates will be notified.

EA Registration No.: R1658484, Amita Raj

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description

To achieve excellence in preventative and reactive maintenance programs incorporating industry best practice, innovative maintenance techniques and statutory and contractual compliance. Oversee the management and control of all plant, mechanical and electrical systems and to co-ordinate remedial action with the Engineering Team in the event of Business Critical failures. To provide leadership and direction to multi skilled Engineering Operations teams made up of directly employed staff and appointed vendors. Ensure that all staff and vendors employed within the clients facilities strictly adhere to client and JLL’s policies and procedures. Act as point of escalation for critical failures to assist the technical team to make safe, identify, analyse, rectify and report improvements. Reports to the Data Centre Operations Manager.

Major Responsibilities

• Manager the site operations, including effective hiring, motivation, development, training and discipline of the site operation technicians and maintenance teams.
• Monitor KPI and up-time requirements.
• Support site reviews, including maintenance standards, equipment replacement, security, change control, single points of failure, Tier adherence and operational risk.
• Ensure delivery of planned and reactive activities, utilizing the CMMS platform within financial operating targets.
• To perform additional tasks as required by the Data Centre Operations Manager, and Client Critical Facilities Manager.
• Support advice and consultation to operate the client’s facilities with regard to facilities engineering matters.
• Responsibility for site repair and maintenance carried out by subcontractors to ensure work completion, quality and method of working for compliance with specification and ordinance requirements.
• Monitor, measure and report upon the performance of all specialist contractors in terms of their ability to carry out the work against the agreed contractual budget.
• Lead and Support meetings regularly with contractors, specialist vendors and suppliers to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below expectations.
• Support daily cadence meetings, monthly operation meeting and quarterly business review with UOB
• Ensure that maintenance documentation meets the required standards and sufficient information is provided to operate an effective asset management regiment.
• Assist/support the client with statutory compliance requirements/certifications for the site.
• Ensure asset information is maintained and changes updated within the CMMS.
• Ensure site operations, including incident management and escalation is performed in accordance with approved Client/JLL procedures.

Ideal Experience

• Tertiary qualifications in a mechanical, electrical or operational engineering discipline.
• At least 3 years’ experience in the operation of electrical and mechanical services in Tier III or equivalent data centre or critical facility.
• Resourceful, analytical and problem-solving skill
• Good communication and interpersonal skills and ability to interact with a wide range of client, client stakeholders and vendor staff
• Possess relevant DC certifications
• Understands continuous improvement initiatives, client relationships and preparation of reports.

Role Overview

As our Data Engineer, you will own the lifeblood of our legal AI platform — the data pipeline that keeps our knowledge graph accurate and current. You will build CDC (Change Data Capture) pipelines to synchronize our Neo4j knowledge graph with Singapore’s official legal publications, implement data quality validation frameworks, and ensure version control across statutory amendments. When a new Gazette is published, your pipeline is what makes our AI know about it within days — not months.

Key Responsibilities

• Design and implement CDC pipelines to capture incremental changes from Singapore Gazette, AGC consolidated statutes, and other authoritative legal sources

• Build automated data ingestion workflows: scraping, parsing, structural analysis of legal documents (Act → Part → Division → Section → Subsection)

• Implement temporal metadata extraction: effective dates, repeal dates, amendment lineage, and version tracking for every statutory provision

• Develop data quality validation framework: automated checks for temporal conflicts, missing citations, entity mismatches, and cross-jurisdiction inconsistencies

• Manage Neo4j graph data loading and incremental updates — updating specific nodes without full graph rebuilds

• Build monitoring dashboards for data pipeline health: ingestion latency, error rates, coverage metrics

• Implement data versioning and rollback capabilities for audit compliance

• Collaborate with Backend Engineer on ETL-to-KAG integration and with QA on data accuracy validation

Requirements

• 2+ years experience in data engineering, ETL development, or data pipeline architecture

• Proficiency in Python and/or Go for data processing scripts and pipeline orchestration

• Experience with graph databases (Neo4j preferred) or relational databases (PostgreSQL)

• Hands-on experience with CDC tools or patterns (Debezium, Kafka Connect, or custom CDC)

• Understanding of data quality frameworks and validation methodologies

• Familiarity with AWS data services (S3, Glue, Lambda, or Step Functions)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with web scraping and document parsing (BeautifulSoup, Scrapy, or similar)

• Background in legal data, regulatory data, or structured document processing

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)

• Knowledge of NLP-based entity extraction or named entity recognition

On behalf of one of its clients, an Insights & Strategy Consultancy, the French Chamber of Commerce is looking for a Data & Insights Manager – Financial Services.

Our client is a premium subscription-based insights and data platform, partnering with leading luxury brands across multiple luxury verticals. The platform enables financial services players to better understand affluent and High Net Worth (HNW) consumers, strengthen client acquisition and retention strategies, and grow market share in highly competitive environments.

This role combines strategic consulting, client advisory, and business development, helping financial services clients unlock growth opportunities through high-value consumer insights.

Key Responsibilities

- Partner closely with Senior Directors to identify, scope, and structure consulting engagements, develop commercial proposals, and assess return on investment.

- Translate affluent and HNW consumer data into clear, insight-led strategic narratives that demonstrate measurable business impact for financial services clients.

- Play an active role in business development, upselling, and account expansion, contributing directly to revenue growth and repeat engagements.

- Present insights, strategic recommendations, and commercial implications to senior client stakeholders, including C-suite and regional decision-makers.

- Act as a trusted advisor and subject-matter expert during client meetings, workshops, and industry events in Singapore and the wider APAC region.

- Deliver high-impact insights, strategic frameworks, and actionable roadmaps tailored to banking, insurance, and wealth management organizations.

- Lead client workshops and training sessions to embed insights across marketing, CRM, digital, and product teams.

- Collaborate with project managers and cross-functional teams to ensure on-time, on-budget delivery of consulting engagements.

- Build and maintain strong, long-term client relationships, driving adoption of recommendations and measurable post-engagement outcomes.

- Contribute to the development and growth of the subscription-based insights and data offering for financial services brands in Singapore and APAC.

- Meet or exceed individual revenue and upsell targets, supporting sustainable account growth.

- Ensure high levels of client satisfaction, evidenced by strong post-engagement feedback and visible client action.

Requirements

• 8+ years’ experience in consulting, insights, analytics, or solution engineering within financial services.
• Strong consultative, storytelling, and presentation skills with senior stakeholders.
• Proven track record of meeting revenue, upsell, or utilisation targets.
• Experience leading client workshops and strategic sessions.
• Confident public speaker with international client exposure.
• Strong commercial mindset and ability to turn data into actionable recommendations.
• Collaborative and comfortable working with cross-functional teams.
• Willingness to travel across EMEA and APAC.

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 13,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 13,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Salary: up to $3000

Duration: 6 months contract

Working Days & Hours: Mon-Fri office hours

Location: Boon Lay

Job Description:

-Create dashboard to give transparency and clear reference to employees for risks and hazards at their area.

-Create awareness campaign (posters, slides, email blasts, videos) through the use of digital tools

Job Requirements: Min Diploma in Data Analytics or similar w min relevant internship experience & Knowledge on digitalization (Powerpoint, PowerBI, PowerApp, or other digital solutions)

• Prior experience in building dashboards is an advantage

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

What you'll be doing

• Support the preparation, validation, and consolidation of HR data for reporting and analytics

• Perform audits and analysis of HR performance data to identify gaps and improvement opportunities

• Maintain and organise HR datasets, ensuring data integrity, consistency, and compliance

• Develop dashboards and trackers to monitor SLA performance and incident trends

• Provide administrative support, including coordination of meetings, project tracking, and documentation

• Manage tracking of IT assets and office resources where required

• Participate in HR projects and support process improvement initiatives

What we're looking for

• Diploma in Information Technology/ Statistics/ Human Resource or related studies 

• 1 – 3 years of working experience in analytics or data-related roles

• Strong proficiency in Microsoft Excel (e.g. Pivot Tables, VLOOKUP, Power Query, charts) and PowerPoint

• Strong analytical skills with a high level of accuracy and attention to detail

• Good communication and interpersonal skills

• Well-organised, proactive, and able to work independently

Interested applicants, kindly furnish us with your full and detailed resume in MS Words format and click "Apply Now" button.

We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. 

JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.

JOBSTUDIO PTE. LTD.

EA License No: 10C4754

EA Personnel: Ryan Tan En Long

EA Personnel Reg No: R25158265

Responsibilities

• Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines.
• Migrate and optimize data workflows from Talend to Spark (PySpark/Scala).
• Collaborate with data architects to define scalable data lake/lakehouse solutions.
• Developer for data-warehousing, ETL and BI projects in Informatica IDMC and Databricks.
• Responsible for all technical development work and support the leads on technical design and systems impact analysis.
• Integrate Spark pipelines with cloud platforms (AWS, Azure, GCP).
• Work with orchestration tools (Airflow, Databricks Jobs, etc.) to schedule and monitor workflows.

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent
• Minimum 6 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 4 project cycles.
• Solid understanding of data warehousing concepts and SQL.
• Familiarity with cloud services (AWS EMR, Azure Databricks, GCP DataProc).

Interested candidates, who wish to apply for the above position, please send in your resume to: ansari.abdulrahman@persolapac.com

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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Senior / Data Engineer

About the Role

We are looking for Senior / Data Engineers to design, build, and optimise scalable data platforms that support analytics and data-driven decision making across the organisation.

You will work closely with cross-functional teams including business stakeholders, analysts, and engineers to deliver robust data solutions and modernise data infrastructure.

Key Responsibilities

Data Architecture & Solution Design

• Collaborate with stakeholders to gather requirements and translate them into scalable data solutions
• Design data architectures aligned with enterprise data strategy and governance standards

Data Pipeline Design & Development

• Build and maintain end-to-end data pipelines across ingestion, transformation, and serving layers (e.g. raw, curated, and business-ready datasets)
• Develop batch and real-time data processing workflows
• Implement data quality checks, validation, and monitoring

Data Modelling

• Design and implement data models (star schema, Snowflake, wide tables)
• Apply Slowly Changing Dimension (SCD) techniques for historical data tracking

Platform Optimisation & Maintenance

• Monitor, troubleshoot, and optimise data pipelines for performance, scalability, and cost-efficiency
• Improve reliability and maintainability of existing data systems

Data Governance & Best Practices

• Ensure adherence to data governance, security, and compliance standards
• Contribute to best practices in data engineering, including metadata management and lineage tracking

Collaboration

• Partner with data analysts, data scientists, and engineering teams to deliver business-impacting data solutions
• Communicate technical concepts clearly to non-technical stakeholders

Requirements

Experience

• 5+ years of experience in data engineering or related roles
• Proven experience designing and implementing scalable data pipelines and platforms

Technical Skills

• Strong proficiency in Python and SQL
• Experience with data processing frameworks and APIs
• Solid understanding of data modelling techniques and SCD implementation

Data Platforms & Architecture

• Experience with modern data architectures (Data Lake, Data Warehouse, Lakehouse)
• Familiarity with distributed data processing and pipeline orchestration

Cloud & Tools

• Experience with cloud platforms (e.g. AWS, Azure, or GCP)
• Familiarity with tools such as Databricks, Airflow, or similar
• Exposure to infrastructure-as-code and DevOps practices is a plus

Other Skills

• Strong problem-solving and analytical thinking
• Ability to work in cross-functional teams and manage stakeholders effectively

Nice to Have

• Experience with real-time streaming pipelines
• Exposure to data governance frameworks and regulatory environments
• Experience supporting large-scale data platform modernisation

For more information you can contact Norean Tan at norean.tan@sanderson-ikas.sg

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086

Key Responsibilities

Design and maintain interactive dashboards and reports using Tableau or Power BI to monitor KPIs and support operational/business decision-making

Develop automated data pipelines in Python and SQL to extract, clean, and transform large, complex datasets from multiple sources

Partner with business, product, and tech stakeholders to gather requirements, define KPIs, and translate data into clear business recommendations

Perform root cause analysis on data mismatches and production reporting issues, ensuring accuracy, consistency, and reliability

Manage data assets in platforms like Databricks with Unity Catalog, enforcing governance, access control, and compliance

Lead A/B testing and experiment design to optimize campaigns, product features, and user engagement

Investigate market/operational data usage and entitlements to identify cost-saving opportunities and improve visibility

Liaise with external vendors like Bloomberg, Refinitiv to resolve data definitions, usage charges, and data-related queries

Document data processes, reporting logic, and validation rules to ensure operational clarity and continuity

Mentor junior analysts and promote best practices in data visualization, SQL, and Python Required

Skills & Qualifications

4+ years of experience in data analysis, BI, or data analytics roles

Expert proficiency in SQL: MySQL, PostgreSQL for complex queries and schema design

Strong Python skills with Pandas, NumPy for data manipulation and automation

Hands-on experience with Tableau, Power BI, and Advanced Excel

Proven experience building and maintaining data pipelines and automating reporting workflows

Solid background in data mining, transformation, and statistical analysis including A/B testing and hypothesis testing

Experience with cloud/data platforms: Databricks, GCP, AWS, or Informatica

Strong stakeholder management skills with ability to translate business needs into data solutions Experience supporting production reporting systems and resolving data integrity issues

Preferred Qualifications

Domain experience in financial services/market data, healthcare, or gaming

Experience with Unity Catalog, data governance, and vendor data management

POSITION GENERAL DUTIES AND TASKS :

We are seeking apassionate and skilled Data Scientist to design, develop, and deploy AI modelsthat power personalised customer engagement across digital and non-digitalchannels. This role is expected to work with various stakeholders to develop AIsolutions and transform multidimensional data—structured and unstructured—intoinsights and engagement ideas that enhance customer satisfaction and businessperformance.

•Collaborate with cross-functional teams to gather business requirements

•Perform feature engineering using customer, product, digital, and behaviouraldata

•Design and build scalable AI models

•Evaluate AI model performance using technical and business metrics

•Design end-to-end model pipeline and conduct various tests to ensurerobustness of solution

•Prepare model documentations and testing reports

We are looking for people who

•Bachelor’s or Master’s degree in Data Science, Computer Science,Statistics, or related fields.

•3–5 years of experience in a data science or analytics role.

•Strong command of Python (especially for text analytics and datamanipulation).

•Solid experience with SQL for querying large datasets.

•Familiar with machine learning libraries and GenAI.

•Ability to work with various types of data and derive meaningful insights.

•Strong communication skills and stakeholder management experience

.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with SQL and data analysis/reporting tools.

Excellent communication, documentation, and facilitation skills.

Ability to work across cross-functional teams in a fast-paced environment.

POSITIONGENERAL DUTIES AND TASKS :
· Design, develop, and implement data storesolutions to support operational and business needs.
· Build and maintain robust ETL pipelines usingTalend and implement automated deployment
workflows for these ETL processes with CI/CD tools.· Develop, optimize, and tune Oracle PL/SQL queries,procedures, and packages to ensure high
performance and reliability.
· Ensure data quality, integrity, and securityacross all data platforms.
· Monitor, troubleshoot, and resolve data workflowand performance issues proactively.
· Translate business requirements into effectivetechnical solutions, ensuring alignment
throughout the project lifecycle.
· Prepare and maintain comprehensive documentationfor technical designs, data flows, and
operational procedures.
· Perform thorough testing to guarantee solutionreliability and data integrity.
· Collaborate with project managers, businessanalysts, and cross-functional teams to ensure
solutions meet business goals and stakeholder expectations.
· Support implementation activities and providepost-launch support to ensure smooth operations.
· Conduct system performance tests and implementimprovements as needed.
· Work closely with the delivery team to deliversystems according to specifications, tracking
assigned tasks to meet project schedules and quality standards.