Senior Data Engineer – Databricks & PySpark (India)

Senior Data Engineer – Databricks & PySpark (India)

03 Oct
|
Enqora Solutions
|
India

03 Oct

Enqora Solutions

India

Senior Data Engineer – Databricks & PySpark | 7+ Years

Enqora Solutions is hiring a Senior Data Engineer with robust 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.

Good 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

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: senior data engineer – databricks & pyspark (india) / india

Subscribe to this job alert:

Get the latest job offers by email for: senior data engineer – databricks & pyspark (india) / india