Lead Consultant - ETL Datastage

Genpact (NYSE : G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Lead Consultant - ETL Datastage !

As a Data Engineer, the candidate should possess strong expertise in Data analysis, Data Integration , Data transformation and ETL skills required to perform the role. Also he / she should possess the relevant domain experience in Banking (Finance & Risk).

Responsibilities :

1. Data Analysis, Data transformation of the back-end of an application

2. Performance of the dataset according to consumption methods

3. Data modeling exposure with strong SQL knowledge

4. Strong hands-on ETL IBM Datastage pipelines development, testing and support.

5. Good programming / scripting in UNIX (bash) skills for development

6. Good Knowledge of understanding Data warehouse & Data Integration techniques.

7. Application performance tuning to optimize resource and time utilization.

8. Create data integration and technical solutions for the customer applications.

9. Detail oriented with good problem solving, organizational, analysis, highly motivated and adaptive with the ability to grasp things quickly.

10. Ability to work effectively and efficiently in a team and individually with excellent interpersonal, technical and communication skills.

Qualifications we seek in you!

Minimum Qualifications :

Bachelor’s Degree ( Computer Science, Mathematics or Statistics)

• relevant experience

1. Agile / Scrum development experience

2. Track record in building larger corporate systems.

3. ETL IBM Datastage

4. Linux (bash) scripting capabilities.

5. Oracle RDBMS 12c or higher.

6. Oracle PLSQL experience in handling procedures and functions.

7. Data Modeling knowledge & awareness

Preferred Qualifications / skills :

We appreciate candidate to have knowledge of the following :

1. Azure cloud knowledge or experience

2. Python scripting, Data pipeline processing

3. Experience in Banking Financial systems (Risk & Finance)

4. Knowledge / experience in Hadoop, Hive data processing.