Data Engineer

Essential Functions

·       Architect, develop, and maintain scalable cloud based and on premise data infrastructure to support enterprise analytics initiatives

·       Design robust data architectures, including data lakes, data warehouses, and distributed processing systems

·       Build, optimize, and automate ETL/ELT pipelines using tools such as Airflow and dbt

·       Integrate data from diverse structured and unstructured sources, ensuring seamless ingestion and processing across platforms

·       Implement data quality checks, validation rules, and monitoring frameworks to ensure accuracy, completeness, and consistency

·       Establish and enforce standards for data formats, metadata, and documentation across all data assets.

·       Develop solutions using cloud technologies (AWS, Azure, or GCP) and modern data storage platforms such as Snowflake, BigQuery, or Redshift

·       Leverage distributed processing fra...