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