Job Description

Design, develop, and maintain ETL processes using IBM DataStage.
Perform data extraction, transformation, and loading from various sources to data warehouses or data lakes.
Work closely with data analysts, data architects, and business users to ensure data quality and availability.
Optimize data pipelines for better performance and scalability.
Manage data flow and integration between Hadoop ecosystems and other systems.

Requirements

Bachelor's degree in Computer Science, Information Systems, or related field.
4+ years of experience as a Data Engineer in enterprise or banking environments.
Strong hands-on experience with IBM DataStage and ETL pipeline design.
Proficient in SQL and data modeling concepts.
Familiar with Hadoop ecosystem (HDFS, Hive, Spark, etc.).
Good analytical, problem-solving, and communication skills.
Able to work onsite and collaborate with cross-functional teams.