Senior Executive Data Engineer
Job description
Responsibilities:
- Develops and optimizes batch and streaming data pipelines to ensure timely and reliable data delivery for business analytics.
- Architects end-to-end ETL/ELT workflows using modern integration tools to streamline data ingestion from diverse sources.
- Manages the Hadoop ecosystem (Spark, Hive, HDFS) to maintain high-performance big data processing capabilities.
- Designs Medallion architecture layers (Bronze, Silver, Gold) to ensure structured data progression and high-quality consumption.
- Implements advanced data modeling (Star, Snowflake, and SCD patterns) to provide scalable and efficient data structures for reporting.
- Monitors data quality, observability, and governance protocols to safeguard data integrity across the organization.
- Supports machine learning workflows by building feature pipelines and MLOps frameworks to accelerate AI model deployment.
- Collaborates with cloud infrastructure teams to refine system performance and cost efficiency while ensuring environment scalability.
- Automates deployments using Git, CI/CD, and containerized environments to maintain seamless and error-free code releases.
Skills description
Years of experience: 1-2 years of experience
Educational background: Bachelor’s degree in Computer Science, Information Technology, or a related field.