Data Engineer - Python, SQL, DBT

Educational Requirements

Bachelor of Engineering,BTech,BCA,BSc,ME,MTech,MCA,MSc,MBA

Service Line

Data Analytics Unit

Responsibilities

• Develop ETL/ELT data pipelines using Python and SQL.
• Build and maintain DBT transformation models.
• Design and optimize Snowflake-based data solutions.
• Ensure data quality, validation, and governance.
• Support cloud-based analytics and reporting initiatives.

Additional Responsibilities:

• Airflow, Azure Data Factory, AWS, or GCP.
• Snowflake certification.
• CI/CD and DevOps practices for data engineering.

Technical and Professional Requirements:

• Strong experience in Python, SQL, and DBT.
• Experience with Snowflake data platform.
• Strong understanding of Data Warehousing and ETL concepts.
• Exposure to data modeling and performance optimization.

Preferred Skills:

• Technology->OpenSystem->Python - OpenSystem
• Technology->SQL SSIS->SQL Server
• Technology->AI-Data science->PYTHON
• Technology->Data on Cloud-DataStore->Snowflake