Key Responsibilities :

- Develop and maintain scalable data pipelines using Databricks and Apache Spark.
- Build, optimize, and maintain ETL/data processing pipelines for large-scale data workloads.
- Perform data extraction, transformation, and processing using Python, PySpark, and SQL.
- Design and implement data models and data warehousing solutions.
- Develop and optimize Databricks notebooks for data processing, exploration, and analysis.
- Monitor pipeline performance and troubleshoot data processing and performance issues.
- Collaborate with data scientists, data analysts, and business stakeholders to deliver data solutions.
- Support analytics, reporting, and BI initiatives using Power BI.
- Work with cloud-based data platforms and services across AWS, Azure, or GCP.
- Ensure data quality, reliability, and performance across data engineering workflows.

Tech Stack :

- Databricks, Python, PySpark/Apache Spark, SQL, Power BI, AWS/Azure/GCP.

Additional Requirements :

- Willingness to work remotely with office visits to Pune, Bangalore, or Hyderabad whenever required based on business/project needs.
- Availability for weekend interview drives may be required based on the hiring schedule.

📌 Data Engineer - Databricks (India)
🏢 Supersourcing
📍 India