Senior Data Engineer – Databricks & PySpark (India)

Senior Data Engineer – Databricks & PySpark (India)

25 Oct
|
Enqora Solutions
|
India

25 Oct

Enqora Solutions

India

Senior Data Engineer – Databricks & PySpark | 7+ Years

Enqora Solutions is hiring a Senior Data Engineer with strong expertise in Databricks, PySpark, Azure Data Factory, Logic Apps, and Apache Airflow.

Experience: 7+ Years
Job Type: Full-time
Work Mode: Hybrid – Primarily Remote
Office Visit: 4 days/month – Noida / Hyderabad / Chennai / Pune / Bengaluru
Shift: Normal IST Shift

Required Skills

- Databricks, PySpark & Delta Lake
- Azure Data Factory (ADF)
- Azure Logic Apps
- Apache Airflow & DAGs
- Python & Advanced SQL
- ETL / ELT & data pipeline orchestration
- ADLS Gen2 & Blob Storage
- Monitoring, logging & pipeline reliability
- GitHub Actions / CI/CD
- Data quality, governance & security
- Azure cloud data architecture

Must Have:



7+ years of Data Engineering experience with high proficiency in Databricks + PySpark, ADF, Logic Apps and Airflow.

Positive to Have: Event-driven architecture, API integrations, MLflow, AI/ML data pipelines, Data Lakehouse architecture and Azure/Databricks certifications.
Apply: [email protected]
Subject: Application – Senior Data Engineer

Please share your total experience, Databricks/PySpark experience, ADF/Airflow experience, current location, notice period, current CTC and expected CTC.

Background verification is mandatory as part of the onboarding process.

Work Location: Remote

📌 Senior Data Engineer – Databricks & PySpark (India)
🏢 Enqora Solutions
📍 India

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