data engineer

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

Birbal AI

<div>
 <p>
  The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Develop, maintain, and optimize data pipelines and data integration workflows.
 </p>
 <p>
  Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 </p>
 <p>
  Support data extraction, transformation, loading, and reconciliation activities.
 </p>
 <p>
  Build and maintain datasets for dashboards, reports, and analytics.
 </p>
 <p>
  Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 </p>
 <p>
  Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 </p>
 <p>
  Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 </p>
 <p>
  Support automation workflows using Power Automate or similar platforms.
 </p>
 <p>
  Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 </p>
 <p>
  Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 </p>
 <p>
  Ensure data security, confidentiality, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Strong SQL development and database knowledge.
 </p>
 <p>
  Experience in ETL/ELT, data pipelines, and data integration.
 </p>
 <p>
  Knowledge of CRM/Dataverse or similar enterprise application data models.
 </p>
 <p>
  Experience with Power BI datasets, reporting databases, or analytics platforms.
 </p>
 <p>
  Understanding of APIs, data exchange, and system integration.
 </p>
 <p>
  Good knowledge of data validation, data reconciliation, and data troubleshooting.
 </p>
 <p>
  Strong analytical, problem-solving, and communication skills.
 </p>
</div>


Data Engineer – SQL, Power BI & Dataverse

Klanik

<div>
 <p>
  🚀
  <strong>
   Hiring: AI Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 </p>
 <p>
  &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 </p>
 <p>
  &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 </p>
 <p>
  &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 </p>
 <p>
  &bull; AI workflow orchestration &amp; event-driven architectures
 </p>
 <p>
  &bull; AI/ML model deployment &amp; inference optimization
 </p>
 <p>
  &bull; REST APIs, microservices &amp; distributed systems
 </p>
 <p>
  &bull; Integration of AI services with enterprise applications and data platforms
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Languages
   </u>
   :
  </strong>
 </p>
 <p>
  &middot; English
 </p>
 <p>
  . Excellent communication, verbal and written skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About KLANIK:
   </u>
  </strong>
 </p>
 <p>
  Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 </p>
 <p>
  <br/>
 </p>
 <p>
  ➜ Information Technology and Systems (IT &amp; IS)
 </p>
 <p>
  ➜ DevOps and Cloud
 </p>
 <p>
  ➜ Big Data and AI
 </p>
 <p>
  ➜ Cybersecurity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 </p>
 <p>
  Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 </p>
 <p>
  We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Being a &ldquo;KLANIK&rdquo;
   </u>
  </strong>
 </p>
 <p>
  That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 </p>
 <p>
  You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Our culture is our pride
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 </p>
 <p>
  Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 </p>
 <p>
  Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 </p>
</div>


AI Engineer

Atain

<div>
 <p>
  <strong>
   Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
  </strong>
  to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
  <strong>
   Revenue Management domain
  </strong>
  is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI solutions using
   <strong>
    Azure Databricks
   </strong>
   , Python, and modern AI frameworks.
  </li>
  <li>
   Build and orchestrate
   <strong>
    Agentic AI
   </strong>
   applications using multi-agent architectures and autonomous workflows.
  </li>
  <li>
   Develop, integrate, and manage
   <strong>
    Model Context Protocol (MCP) Servers
   </strong>
   for secure tool and data access.
  </li>
  <li>
   Design and implement
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines for enterprise AI applications.
  </li>
  <li>
   Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
  </li>
  <li>
   Build scalable data pipelines using
   <strong>
    PySpark
   </strong>
   , SQL, and Delta Lake on Azure Databricks.
  </li>
  <li>
   Integrate AI applications with enterprise systems, APIs, and cloud services.
  </li>
  <li>
   Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
  </li>
  <li>
   Monitor AI model performance, ensure governance, security, and responsible AI practices.
  </li>
  <li>
   Stay updated with emerging AI technologies and recommend innovative solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   ,
   <strong>
    PySpark
   </strong>
   , Python, and SQL.
  </li>
  <li>
   Strong experience building
   <strong>
    Agentic AI
   </strong>
   solutions and multi-agent orchestration.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    MCP Servers
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    Large Language Models (LLMs)
   </strong>
   , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
  </li>
  <li>
   Experience with
   <strong>
    Azure AI Services
   </strong>
   , Azure OpenAI, or similar cloud AI platforms.
  </li>
  <li>
   Knowledge of REST APIs, microservices, and cloud-native architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in Agile environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


Artificial Intelligence Engineer

DICETEK LLC

<div><p><b>Role Summary</b></p><p>
The Senior Engineer &ndash; Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards.</p><p>
The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people‑management role but requires strong technical leadership and ownership across the data lifecycle.</p><p>
<b>Key Responsibilities</b></p><ul><li>
Define and govern the IB&amp;M Data Platform, ensuring strong data governance, quality, lineage, security, and compliance.
</li><li>Lead the design and implementation of scalable data platform standards across Azure Lakehouse (ADLS, Databricks, Delta Lake).
</li><li>Provide technical leadership on data architecture, platform engineering, and governance best practices.
</li><li>Collaborate with Global Markets, Risk, Compliance, Analytics, and engineering teams to deliver trusted and compliant data solutions.
</li><li>Review solution designs, establish platform standards, and ensure scalability, performance, security, and regulatory compliance.</li></ul><p></p><p><b><br>
Experience</b></p><ul><li><b>10+ years</b> of experience in <b>Data Engineering, Data Platforms, or Data Architecture</b></li><li>Proven experience leading <b>data governance initiatives</b> in large, regulated environments (Banking / Financial Services preferred)</li><li>Strong background supporting <b>Global Markets / Investment Banking</b> data domains is highly desirable</li></ul><p><b>
Technical Skills</b></p><ul><li>Strong hands-on experience with:
</li></ul><p>o <b>Azure Data Lake (ADLS)</b></p><p>
o <b>Databricks / Delta Lake / Lakehouse architectures</b></p><p>
o Data quality, schema enforcement, and validation frameworks</p><ul><li>Experience with <b>data cataloging and governance tools</b> (e.g., Unity Catalog, Informatica Axon or similar)
</li><li>Solid understanding of:
</li></ul><p>o Data modeling (analytical and canonical models)</p><p>
o Metadata management and lineage</p><p>
o Secure data access and entitlements</p><ul><li>Good understanding of <b>AI/ML and analytics enablement</b> within governed data platforms</li></ul><p><b>
Soft Skills</b></p><ul><li>Strong ownership mindset with ability to work independently</li><li>Excellent stakeholder management and communication skills</li><li>Ability to translate regulatory and business requirements into technical solutions</li><li>Comfortable working in <b>complex, multi‑vendor, enterprise environments</b></li></ul></div><p></p>

Data Governance & Platform Lead – IB&M

<div>
 <p>
  <strong>
   Job Title: Senior Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7 to 12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   MS Dynamics CRM Tester
  </strong>
  with strong expertise in the
  <strong>
   Airline Booking/Reservation domain
  </strong>
  and
  <strong>
   Automation Testing using Selenium Java
  </strong>
  to join our QA team. The role involves validating CRM workflows, integrations, and end-to-end airline booking journeys across web, mobile, API, and automation frameworks while collaborating with onsite and offshore teams
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Perform functional, integration, system, regression, and
   <strong>
    automation testing
   </strong>
   for Microsoft Dynamics CRM (Dynamics 365) applications.
  </li>
  <li>
   Design, develop, and maintain
   <strong>
    automation test scripts using Selenium WebDriver with Java
   </strong>
   .
  </li>
  <li>
   Validate end-to-end
   <strong>
    airline booking workflows
   </strong>
   , including flight search, reservations, ticketing, payments, check-in, loyalty programs, cancellations, and customer service modules.
  </li>
  <li>
   Create and execute test cases, test plans, automation suites, and test scenarios based on business requirements and user stories.
  </li>
  <li>
   Test CRM integrations with airline systems such as booking engines, payment gateways, loyalty platforms, and third-party APIs.
  </li>
  <li>
   Perform API testing using Postman/REST clients.
  </li>
  <li>
   Execute SQL queries for backend data validation.
  </li>
  <li>
   Work closely with Business Analysts, Developers, and Product Owners across onsite (Abu Dhabi) and offshore teams.
  </li>
  <li>
   Participate in Agile/Scrum ceremonies and contribute to sprint planning and release cycles.
  </li>
  <li>
   Log, track, and manage defects using JIRA/Azure DevOps.
  </li>
  <li>
   Support UAT cycles, production release validation, and automation regression execution
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    7+ years
   </strong>
   of experience in Software Testing/QA.
  </li>
  <li>
   Hands-on testing experience in
   <strong>
    Microsoft Dynamics CRM (Dynamics 365)
   </strong>
   .
  </li>
  <li>
   <strong>
    Strong experience in the Airline Booking/Reservation domain
   </strong>
   with knowledge of booking, ticketing, check-in, loyalty, and ancillary services.
  </li>
  <li>
   <strong>
    Hands-on Automation Testing experience using Selenium WebDriver with Java.
   </strong>
  </li>
  <li>
   Experience in building and maintaining automation frameworks using
   <strong>
    Selenium, Java, TestNG/JUnit, and Maven/Gradle
   </strong>
   .
  </li>
  <li>
   Experience in API testing and integration testing using Postman/REST Assured.
  </li>
  <li>
   Experience with SQL for data validation.
  </li>
  <li>
   Strong understanding of STLC, SDLC, and Agile methodologies.
  </li>
  <li>
   Experience with Test Management and Defect Tracking tools (JIRA/Azure DevOps).
  </li>
  <li>
   Excellent analytical, problem-solving, and communication skills.
  </li>
  <li>
   Experience working with distributed onsite/offshore teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


Microsoft Dynamic Tester

Explore 170+ Data engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.