Senior Data Engineer
autalenthub
Job Description
- Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
- Architect end-to-end ETL/ELT solutions for data ingestion, transformation, and consumption across enterprise systems.
- Build and optimize cloud-native data platforms using AWS services such as S3, EMR, Redshift, Glue, Athena, and Airflow.
- Define and implement enterprise data strategies, including data sourcing, data flow, storage, governance, and consumption frameworks.
- Collaborate with Data Analytics, Business Intelligence, Product, and Technology teams to understand and fulfill data requirements.
- Design and implement scalable data models supporting reporting, analytics, and business intelligence initiatives.
- Monitor, troubleshoot, and support production data pipelines to ensure high availability and reliability.
- Lead performance tuning initiatives for complex SQL queries, ETL jobs, and large-scale data processing workloads.
- Ensure data quality, validation, governance, security, and compliance standards are adhered to.
- Drive cloud cost optimization initiatives while maintaining performance and user experience.
- Present technical architecture, solutions, and recommendations to business and technology stakeholders.
- Mentor junior engineers and coordinate tasks across project teams.
- Prepare and maintain technical documentation, architecture diagrams, and operational runbooks.