About this role
Python-based Data Engineering, Snowflake, Data Engineer & Development Extracts, analyzes, and interprets data to support business decisions, reporting, and engineering initiatives. Designs and develops ETL pipelines and Snowflake-based data solutions. SQL data extraction, Python-based data processing, build reports/dashboards, perform data validation, support ETL, analyze trends, collaborate with stakeholders, ensure data quality. • Create ETL jobs using SSIS, Informatica, DataStage, or Python.• Build Snowflake schemas, warehouses, and pipelines.• Optimize SQL queries and data models.• Migrate on-prem DBs to Snowflake.• Support data quality, metadata, and lineage tracking. Python, SQL, Snowflake, ETL tools, DB performance tuning, data modeling, cloud pipelines Writes queries, builds basic ETL pipelines. Designs data flows, optimizes pipelines, owns modules. Architects enterprise data pipelines. Leads data strategy, Snowflake optimization frameworks.