Jobs 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.

Design and engineer Snowflake solutions using Cortex AI capabilities such as RAG, semantic search, and multi-agent systems. Apply capital markets expertise while communicating with and managing clients. Nice-to-have experience includes PostgreSQL, Talend, Azure or AWS, Denodo, Iceberg tables, and migration from Oracle or DB2 to Snowflake.

Build and optimize Starburst-based data pipelines and federated queries, integrate databases, data lakes, and warehouses, and ensure performance, reliability, and governance. Collaborate with analytics, AI/ML, and business teams to deliver scalable data platforms and solutions.

Lead the implementation, configuration, administration, and integration of Alation Data Catalog. Manage metadata ingestion, data lineage, business glossaries, data quality, classification, stewardship, governance workflows, and platform integrations. Develop automation using Alation APIs, REST APIs, SQL, and Python; troubleshoot catalog operations; collaborate with technical and business stakeholders; and mentor Alation developers.