Enterprise Data Lake Systems Analyst

We are seeking an experienced Data Engineer to design, integrate and support enterprise-scale data platforms and data-lake solutions. The role involves developing and optimizing complex ETL pipelines, integrating multiple upstream and downstream data sources, performing data transformation and reconciliation, and implementing data-quality and validation controls. Key Responsibilities: • Design and enhance enterprise data integration and Data Lake solutions. • Develop and optimize ETL workflows using Informatica, DataStage and SQL. • Perform source-to-target mapping, data transformation, reconciliation and validation. • Work with Hadoop, Hive, Impala, Teradata, Oracle and Netezza environments. • Implement data-quality, metadata and data-governance controls. • Analyze complex datasets and resolve data discrepancies and integration issues. • Support SIT/UAT, production validation and technical defect resolution. • Optimize SQL queries, ETL processes and high-volume batch workloads. • Collaborate with technical, business and offshore/onshore teams to deliver enterprise data initiatives