Description

Job Duties

Design, implement, and maintain scalable and efficient data pipelines across platforms like Netezza, Hadoop, Snowflake, DBT, and DataStage to process and transform large volumes of data. Consolidate and integrate data from multiple source systems, including enterprise platforms such as SAP, Oracle, Kafka, on prem and cloud database systems, and messaging queues, ensuring data consistency and availability. Design and implement hybrid data solutions using AWS, Azure, and GCP, leveraging their services for scalable storage, processing, and analytics. Create and optimize Extract, Transform, Load (ETL) workflows using tools like DBT and DataStage, ensuring efficiency and reliability in data processing pipelines. Implement rigorous data quality checks and validation mechanisms to ensure accuracy and reliability in integrated datasets using Python, SQL and DBT. Work under supervision. Travel and/or relocation to unanticipated client sites throughout USA is required.

Education

Master’s degree in Computer Science/ IT/IS/Engineering (Any) or closely related field with Six (6) months of experience in the job offered or as a Data Engineer or IT Consultant or Analyst or Programmer or Developer or related field.

Experience

Experience of Six (6) months of working with any Cloud platforms like any one of AWS or Azure or GCP or Snowflake along with Python/SQL is required. Travel and/or relocation to unanticipated client sites throughout USA is required

Key Skills

Education

Any Graduate