Data Engineer

We are seeking a highly skilled individual to work with a leading technology staffing firm, renowned for connecting top talent with innovative companies. This firm is dedicated to building exceptional teams and driving technological advancements across various industries.The Role Develop, maintain, and optimize SQL-based ETL processes, stored procedures, and data transformations across various platforms Define enterprise data engineering architecture and technology standards Build and maintain data pipelines using tools like IBM DataStage and UNIX scripting Govern platform health, including capacity planning, performance benchmarks, and disaster recovery compliance Lead workload rationalization to consolidate, retire, or re-engineer data pipelines Monitor pipeline health, detect anomalies, and resolve data quality and availability issuesWhat You'll Need Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field AWS certification (Data Engineer Professional, Solutions Architect Professional, or equivalent) 8+ years of data engineering experience with deep expertise in enterprise ETL/ELT architecture Expert-level SQL proficiency in IBM DB2 and SQL Server, including complex schema design and query optimization Expert-level IBM DataStage experience, including architecture, parallel job design, and performance tuning Proven AWS data engineering experience in S3, Glue, RDS, Redshift, Lambda, and IAM-governed data accessWhat's On Offer Comprehensive benefits including medical/dental/vision insurance Opportunity to work on large-scale enterprise data platforms Engagement in modern data stack adoption initiatives Collaborative environment with downstream analytics consumersApply via Haystack today!