Lead Assistant Manager-Data Engineering-Cloud Data Engineering

About the role

The ideal candidate will have strong expertise in Snowflake , Hadoop ecosystem , PySpark , and SQL , and will play a key role in enabling data-driven decision-making across the organization. Design, develop, and optimize robust data pipelines using PySpark and SQL. Implement and manage data warehousing solutions using Snowflake.

What you'll do

• Design, develop, and optimize robust data pipelines using PySpark and SQL
• Implement and manage data warehousing solutions using Snowflake
• Work with large-scale data processing frameworks within the Hadoop ecosystem
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
• Ensure data quality, integrity, and governance across all data platforms

What you need

• 5–9 years in data science & ai
• SQL
• Hadoop
• Spark
• ETL
• Snowflake
• Data warehousing
• Any graduate

Good to have

• AWS
• GCP
• Azure
• Data modelling
• Airflow
• dbt