Manager

About the role

Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and process large volumes of structured and semi-structured data. Develop and optimize data models, tables, and transformations to support analytics, reporting, and downstream data consumption. Work with large datasets using SQL, PySpark, and modern data platforms such as Snowflake and Databricks to ensure efficient data processing.

What you'll do

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and process large volumes of structured and semi-structured data
• Develop and optimize data models, tables, and transformations to support analytics, reporting, and downstream data consumption
• Work with large datasets using SQL, PySpark, and modern data platforms such as Snowflake and Databricks to ensure efficient data processing
• Build and manage data workflows using orchestration tools such as Apache Airflow, ensuring reliable and timely data delivery
• Develop automation scripts using Shell Scripting and Python to support data pipeline execution, monitoring, and operational efficiency

What you need

• SQL
• Python
• ETL
• Spark
• Snowflake
• Databricks

Good to have

• Airflow
• Shell scripting