Data Engineer - Python, SQL, DBT

Job description

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