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.