Data Engineer at Excelon Solutions | Torre
You'll architect and optimize scalable data pipelines, driving real-time insights for critical business decisions.
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Full-time

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Shared by
Paulina Romero Moreno
about 1 month ago

Requirements and responsibilities


Role Summary: Experienced Data Engineer to design, build, and optimize scalable, high-performance data pipelines using Databricks, Apache Airflow, Snowflake, Python, and SQL. End-to-end ownership of data ingestion, transformation, orchestration, and optimization across cloud-based data platforms to enable analytics, reporting, and downstream data science use cases.Key Responsibilities: Design, develop, and maintain batch and streaming data pipelines using Databricks (PySpark) and Snowflake; build ETL/ELT frameworks to ingest data from multiple sources; implement data transformations using Python and SQL; develop metadata-driven, reusable pipelines; create and manage workflows with Apache Airflow; integrate Airflow with Databricks jobs, Snowflake tasks, and cloud services; work on Databricks Lakehouse architecture (Bronze/Silver/Gold); optimize Spark jobs; design Snowflake schemas, tables, and warehouses; implement Snowflake SQL transformations and performance/cost optimization; ensure data quality, governance and security; implement CI/CD pipelines for data code; support production deployments, monitoring, and incident resolution; collaborate with DevOps, Architecture, and Analytics teams.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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