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Senior Data Engineer – Databricks & PySpark

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Remote, Hybrid

Senior Data Engineer – Databricks & PySpark

Enqora Solutions

Senior Data Engineer – Databricks & PySpark

Skills

SQL QueriesData EngineeringPythonDatabricksMachine LearningAIGitHubPySparkApache AirflowAzure

25 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Remote, Hybrid

Published on:

29 September 2026

What they need


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.

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

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