Description

You will own the design, development, and optimization of scalable data infrastructure.

This role is hybrid.

Responsibilities

• Design and build ETL/ELT pipelines using Databricks and PySpark.
• Develop and maintain data models and warehouse structures, including dimensional modeling.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Ensure data quality, reliability, and security across all production pipelines.
• Collaborate with Data Science, BI, and Product teams on data requirements.

Required Skills

• 10+ years of experience in data engineering roles.
• Strong hands-on skills in Databricks, PySpark, and SQL.
• Experience with ETL frameworks and building batch/streaming pipelines.
• Solid understanding of Delta Lake and Lakehouse architecture.
• Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.).
• Experience with cloud platforms, specifically Azure.
• Familiarity with AWS or GCP.

Preferred Skills

• Experience with CI/CD for data pipelines.
• Knowledge of data governance tools like Unity Catalog.

Key Skills

Education

Any Graduate