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Data Platform Engineer - Apogee Enterprises
Data Engineer
Design, build, and maintain scalable data pipelines and analytics platforms using Python, SQL, Airflow, and cloud services to support enterprise data governance, integration, and analytics initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain robust, scalable data pipeline architectures for multiple data domains.
- Implement and support ETL/ELT processes using Python, SQL, and orchestration tools such as Apache Airflow.
- Collaborate with IT and business partners to define data requirements, ensure data quality, and provide technical guidance.
- Integrate and optimize cloud data platforms (e.g., Snowflake, AWS Redshift) for analytics and reporting workloads.
- Develop data models, documentation, and monitoring solutions to support data governance and master data management.
Requirements
- Strong experience with Python and SQL for data engineering tasks.
- Hands‑on expertise in building and orchestrating ETL pipelines using tools like Apache Airflow.
- Proficiency with cloud data warehouses such as Snowflake or AWS Redshift and related services (S3, Glue, Lambda).
- Understanding of data governance, master data management, and analytics best practices.
- Excellent problem‑solving and communication skills to work with cross‑functional teams.
Skills
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