Teams at DATAECONOMY

Design and optimize scalable ETL/ELT pipelines and modern data platforms using Databricks, PySpark, Azure Data Factory, ADLS, Delta Lake, and Synapse Analytics. Develop data ingestion and transformation workflows, optimize Spark performance, implement CI/CD automation, and uphold data quality, security, and governance standards. Collaborate with architects, analysts, and business stakeholders on cloud-based data engineering solutions.

Develop and implement client data systems, including database environments, data migration processes, and secure, efficient data access solutions. Contribute to data-system planning for stakeholder approval and collaborate directly with clients on projects. The role requires travel and/or relocation to unanticipated U.S. locations based on client and project needs. Technologies include Talend Enterprise Edition, ETL, Java, SQL, and PL/SQL.

Develop and maintain data lake and data mart architecture, translate client requirements into migration plans, extract and migrate data while preserving integrity and security, and create data visualizations. Collaborate with QA teams to resolve defects and validate systems. The role requires working with ETL, SQL, Oracle, Informatica, Teradata, and Power BI, plus travel or relocation to client project locations across the United States.