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Senior Data Analytics Engineer - Under Armour
Data Engineer
Lead end‑to‑end data analytics solutions, building scalable pipelines on AWS, leveraging Python, Spark, and SQL to transform raw data into actionable insights for performance optimization.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines using Python, Apache Spark, and AWS services (Glue, Redshift, S3).
- Transform and model raw data into clean, query‑ready datasets, ensuring high data quality and consistency.
- Collaborate with data scientists and product teams to deliver actionable insights and support data‑driven decision making.
- Optimize query performance and storage costs through advanced indexing, partitioning, and caching strategies.
- Document data flows, schema definitions, and best practices for reproducibility and compliance.
Requirements
- 5+ years of experience in data engineering or analytics roles.
- Proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS data services (Glue, Redshift, Athena, S3).
- Strong understanding of data modeling, ETL design, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlapache sparkaws