Hiring: Senior Data Engineer (Databricks | DBT | Python | Spark)
Location: Remote (India)
Experience: 7+ Years
Budget: ₹1.10 LPM – ₹1.40 LPM
Employment Type: Contract
We are looking for an experienced Data Engineer with strong expertise in Databricks, DBT, Python, and Apache Spark to join a high-impact data migration project. The ideal candidate should have hands-on experience designing modern data platforms and leading large-scale migration initiatives.
Key Responsibilities:
- Lead the end-to-end migration from Snowflake/Glue to Databricks/DBT.
- Design and govern data architecture across Landing, Bronze, Silver, and Gold layers in the Databricks Lakehouse.
- Develop modular, reusable, and well-documented DBT models.
- Build and optimize Python-based ETL pipelines while ensuring output parity with legacy Snowflake pipelines.
- Optimize Spark jobs for performance, partitioning, and scalability.
- Collaborate with architects, data stewards, QA teams, and business stakeholders throughout the migration lifecycle.
- Mentor junior Data Engineers and conduct technical code reviews.
- Participate in sprint planning, architecture discussions, and technical walkthroughs.
- Ensure adherence to data governance, security, and access control standards.
Required Skills:
- Databricks
- DBT (Data Build Tool)
- Python
- Apache Spark (PySpark)
- Snowflake
- AWS Glue
- ETL Pipeline Development
- SQL
- Data Warehousing
- Delta Lake
- Performance Tuning & Optimization
- Data Migration
- Data Lakehouse Architecture
- Git
Preferred:
- Experience working in client-facing roles.
- Strong communication and technical leadership skills.
- Experience mentoring engineering teams.
If your profile matches the above requirement, please share your updated resume along with the following details:
- Total Experience:
- Relevant Experience (Databricks):
- Relevant Experience (DBT):
- Relevant Experience (PySpark):
- Current CTC:
- Expected CTC:
- Notice Period:
- Current Location:
Interested candidates can apply through Indeed or share their updated resume at:
[email protected]
Pay: ₹100,000.00 - ₹140,000.00 per month
Work Location: Remote
