Senior Data Engineer
Primary Skills
- ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Job requirements
- EDW/ETL(Informatica, IICS, BODS, Oracle, SQL)
- Job Purpose
- As a Lead Data Engineer, you will be responsible for end-to-end ownership of data engineering solutions for the Enterprise Data Warehouse (EDW). You will design, architect, and optimize scalable and secure data pipelines leveraging BODS, Informatica IICS, SQL, Oracle and modern data platforms. You will lead a team, drive technical best practices, and partner with business and technology stakeholders to deliver critical data solutions.
- Key Responsibilities Architect, design, and lead the development of complex data integration pipelines for EDW, ODS, and Data Marts. Ensure compliance with data governance, privacy, and security standards. Lead impact analysis, design reviews, and release management for data engineering projects. Own performance optimization of ETL pipelines, SQL queries, and database objects. Mentor and guide junior engineers, manage deliverables, and ensure high-quality outcomes. Drive adoption of cloud-based solutions (Snowflake, AWS) and automation for data workflows. Partner with Product Owners to align delivery with business goals and PI objectives. Provide L3 technical support for production incidents.
- Required Skills & Qualifications Strong expertise in ETL tools (BODS, Informatica IICS) and SQL (Oracle, Netezza, Teradata). Hands-on experience in data architecture, modeling (Dimensional & Relational), and optimization. Advanced performance tuning for large-scale pipelines and DB objects. Familiarity with cloud data platforms (Snowflake, AWS, BigQuery, Redshift). Strong leadership skills to guide a small team of engineers. Excellent communication, stakeholder engagement, and problem-solving abilities. Prior experience in the Financial Services domain is highly desirable.
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