Key Responsibilities :

- Design, develop, test, and implement ETL processes using industry-leading tools such as Informatica, DataStage, SSIS, Talend, or SnapLogic.

- Demonstrate extensive hands-on experience in the data integration area, ensuring data quality, consistency, and efficient loading into target systems.

- Execute and monitor ETL jobs, ensuring timely and successful data warehouse/data mart updates.

- Apply 4 to 4.5 years of strong experience working with Advanced SQL in enterprise databases like Oracle, Teradata, or Snowflake.

- Translate complex technical requirements into efficient data collection queries.

- Collaborate with business analysts and other IT teams to understand business requirements and convert them into precise, optimized SQL queries.

- Possess a good understanding of ETL architecture and design principles to build scalable and maintainable solutions.

- Utilize knowledge of Databases and PL/SQL (or T-SQL/stored procedures) for data manipulation and process optimization.

- Utilize UNIX commands for scripting, job scheduling, and file handling related to ETL processes.

- Work effectively with cross-functional teams (Business, Analysts, other IT teams) to ensure data solutions meet business needs.

Required Qualifications :

- Experience : 4 to 4.5 years of professional experience in ETL development and data integration.

- ETL Tools : Extensive hands-on experience in at least one major ETL tool (e.g., Informatica, DataStage, SSIS, Talend, or SnapLogic).

- SQL : Strong, advanced proficiency in SQL on platforms such as Oracle, Teradata, or Snowflake.

- Data Knowledge : Good understanding of ETL architecture, design principles, Databases, and PL/SQL/SQL.

- OS Skills : Good knowledge and practical experience with UNIX commands.

- Problem-Solving : Proven ability to translate complex technical and business requirements into effective data manipulation queries and processes.

Desired Qualifications (Good to Have) :

- Specific project experience or proficiency with SnapLogic ETL tool.

- Experience with cloud-based data warehousing solutions.