Data Engineer - Databricks

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.