onsite
Senior Data Engineer - Aurizon
Data Engineer
Senior Data Engineer driving enterprise‑wide data strategy, building scalable pipelines with Python, Spark, and AWS to unlock insights and support high‑value decision making.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines using Python, Spark, and SQL to ingest, transform, and publish data across the organization.
- Lead data modeling initiatives, creating dimensional models and star schemas that support analytics and reporting.
- Implement robust ETL processes on AWS services (Glue, Redshift, S3) ensuring data quality, lineage, and performance.
- Collaborate with cross‑functional teams—operations, finance, and commerce—to understand data needs and deliver actionable insights.
- Provide thought leadership on emerging data technologies and best practices, influencing enterprise data strategy.
Requirements
- 5+ years of experience as a Data Engineer or similar role in a large enterprise.
- Proficiency in Python, SQL, and Apache Spark for data processing.
- Hands‑on experience with AWS data services (Glue, Redshift, S3, Athena).
- Strong background in data modeling, ETL design, and data warehousing concepts.
- Excellent communication skills and ability to work collaboratively across technical and business teams.
Skills
pythonsqlapache sparkaws