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Job Description
Responsibilities
- Build, optimize and productionize data pipelines on Databricks using PySpark and SQL
- Re-engineer and migrate transformation logic from a legacy platform to Databricks
- Design and perform data validation and reconciliation to ensure accuracy across platforms
- Tune performance through partitioning, Delta optimization, cluster configuration and ingestion strategies
- Contribute to medallion-layer design and implement data quality frameworks
- Review code and mentor junior engineers to promote best practices
- Work within Git-based CI/CD setups and follow Agile delivery processes
- 7+ years of data engineering experience with recent hands-on delivery
- Strong proficiency with Databricks platform, PySpark, SQL and Delta Lake
- In-depth knowledge of ingestion patterns, Spark performance tuning and partitioning strategies
- Solid SQL expertise with practical ability to write and validate queries
- Experience in data migration or re-platforming projects
- Professional-level English communication skills
- Bachelor's degree in computer science, information technology or a related field
- Databricks Certified Data Engineer Professional certification
- Familiarity with Palantir Foundry
- Background in financial services or asset management
- Experience with Unity Catalog governance
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- Knowledge of large-scale data quality or reconciliation frameworks
- End of service gratuity
- Private healthcare and life insurance
- Employee assistance program
- Wellness program
- Annual air travel allowance for expatriates
- Regular performance feedback and salary reviews
- Global travel medical and accident insurance
- Referral bonuses
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
Skills
Data ValidationData MigrationData EngineerSqlDatabricksIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Important dates & deadlines?
Application Deadline
07 Nov 26, 01:39 PM IST
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