Epam Systems

Senior Data Engineer

Epam Systems

Abu Dhabi, United Arab Emirates · Full Time

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Experience
7+ yrs
Salary
Openings
1
Posted
23 hours ago
Work mode
In office
Education
Bachelor's degree in Computer Science, Information Technology or related discipline
Resume
Required to apply

Where you'll work

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Job description

About the Role

We are seeking an experienced Senior Data Engineer to join our onsite team in Abu Dhabi, UAE. This role centers around migrating a large scale data platform using cutting-edge data technologies and creating production-grade pipelines within a fast paced delivery setting. You will be embedded in an engineering team dedicated to producing impactful solutions that demand solid hands-on expertise.

Responsibilities

  • Develop, enhance, and deploy data pipelines on Databricks utilizing PySpark and SQL.
  • Rebuild and transfer transformation workflows from legacy systems to Databricks.
  • Plan and execute data validation and reconciliation to ensure data integrity across platforms.
  • Improve pipeline efficiency by applying partitioning, Delta Lake optimization, cluster tuning, and efficient ingestion methods.
  • Participate in designing medallion-layer architecture and establish frameworks that ensure data quality.
  • Conduct code reviews and provide mentorship to junior engineers to uphold best engineering practices.
  • Work within Git-based continuous integration/continuous delivery environments and adhere to Agile methodologies.

Requirements

  • A minimum of 7 years experience in data engineering with recent practical involvement.
  • Expertise with the Databricks environment, PySpark, SQL programming, and Delta Lake technology.
  • Comprehensive understanding of data ingestion techniques, performance tuning for Spark, and partitioning schemes.
  • Strong ability to write, analyze, and validate SQL queries.
  • Prior experience undertaking data migration or platform reengineering projects.
  • Fluent professional English communication skills.
  • Bachelor’s degree in Computer Science, IT, or an associated discipline.

Desirable Qualifications

  • Certification as a Databricks Certified Data Engineer Professional.
  • Experience with Palantir Foundry platform.
  • Background knowledge in financial services or asset management sectors.
  • Familiarity with Unity Catalog governance model.
  • Exposure to comprehensive data quality and reconciliation frameworks for large-scale systems.

Benefits and Perks

  • End of service gratuity benefits.
  • Private medical and life insurance coverage.
  • Employee support and assistance programs.
  • Wellness initiatives to promote employee health.
  • Annual airfare allowance for expatriate employees.
  • Regular performance appraisals coupled with salary reassessments.
  • Comprehensive global travel insurance for medical emergencies and accidents.
  • Referral reward programs.
  • Opportunities for professional growth including internal training sessions, coaching, certification support, and educational courses.

Level

Senior

Minimum education

Bachelor's Degree

Tools & software

Databricks required

How they work

Teamwork & Collaboration Attention to Detail Leadership Initiative

Languages

Servicenow

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