Senior Data Engineer - Databricks
Incedo Inc. is hiring a Senior Data Engineer to join a delivery team focused on building life sciences data platforms using Databricks. You will design and implement medallion-layer ingestion and transformation pipelines while collaborating with cross-functional PODs. The role requires proficiency in PySpark, Python, and SQL, along with experience in data modeling and CI/CD workflows. This position is based in Gurugram and involves working with distributed client stakeholders.
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Experience
3-5 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Incedo Inc. is hiring a Senior Data Engineer to join a delivery team focused on building life sciences data platforms using Databricks. You will design and implement medallion-layer ingestion and transformation pipelines while collaborating with cross-functional PODs. The role requires proficiency in PySpark, Python, and SQL, along with experience in data modeling and CI/CD workflows. This position is based in Gurugram and involves working with distributed client stakeholders.
TAL's take
Solid tier-2 engineering role with clearly defined technical responsibilities in a high-demand stack (Databricks).
The JD is crisp, detailing specific responsibilities with Databricks medallion architecture, team structure, and expected tooling.
Must haves
- 3-5 years of overall data engineering experience
- 1-2 years experience with Databricks
- 1-2 years hands-on with PySpark or Python
- Strong SQL skills for transformation and validation
- Familiarity with data modeling and schema design
- Experience with version control and CI/CD concepts
Tools and skills
Nice to have: auto loader, lakeflow connect, kafka, unity catalog, aws, azure, dbt, airflow.
About the company
Incedo is an established IT services and consulting firm focusing on digital transformation, typical of a tier 2 organization.
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