- 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
Skills
Tools & software
Databricks
required
How they work
Teamwork & Collaboration
Attention to Detail
Leadership
Initiative
Languages
Servicenow