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Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake; implement Snowflake objects and optimize workloads; apply dimensional modeling; integrate structured and semi-structured sources; enforce data quality, governance, and security; monitor/operate production pipelines and collaborate with cross-functional teams.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads. Ingest data from APIs, databases, cloud storage and flat files, apply dimensional modeling, enforce data quality/governance, monitor pipelines, and collaborate with cross-functional teams to deliver enterprise data solutions on Azure.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Ingest data from APIs, databases, flat files and cloud storage; implement dimensional models; optimize Snowflake performance and costs; enforce data quality, governance, and security; monitor pipelines and support production; collaborate with architects, analysts, and stakeholders.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads, ingest data from APIs/databases/cloud storage, apply dimensional modeling, enforce data quality, governance, and security, monitor/operate production pipelines, and collaborate with cross-functional teams to deliver cloud data platform solutions on Azure.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads. Integrate data from APIs, databases, files, and cloud storage. Enforce data quality, governance, and security; monitor and tune performance; document pipelines; and collaborate with architects, analysts, and stakeholders to deliver enterprise data solutions on Azure.

Design, build, and maintain scalable ETL/ELT data pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads, ingest data from APIs, databases, and cloud storage, apply dimensional modeling, enforce data quality and governance, monitor and troubleshoot production pipelines, and collaborate with cross-functional teams.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads. Integrate data from APIs, databases, cloud storage and files. Apply dimensional modeling, data quality controls, governance, security, and monitoring. Collaborate with architects, analysts, and stakeholders to support production operations and documentation.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads, integrate data from APIs, databases, and cloud storage, enforce data quality and governance, monitor pipelines, and collaborate with cross-functional teams to deliver cloud data platform solutions (primarily Azure).

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimizations, ingest data from APIs, databases and cloud storage, apply dimensional modeling, enforce data quality/governance, monitor and optimize workloads, resolve production incidents, document processes, and collaborate with architects, analysts, and stakeholders.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize workloads, apply dimensional modeling, ensure data quality and governance, monitor production pipelines, and collaborate with architects and stakeholders to deliver cloud-based data platform solutions (Azure).