Careers at Genpact


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Consultant - AWS

With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it.

Inviting applications for the role of Lead Consultant, AWS


  • An independent AWS Cloud Technical Consultant who can work independently being part of KTLO & Enhancements team for various commercial pharma data warehouse
  • Work closely with Onshore Technical Architect, Offshore Delivery Lead, Business users, IT leadership, developers, database administrators, and client vendors to run the KTLO & enhancements of DWH for one of our key North America Pharma client


Required Skills:

  • Excellent knowledge on AWS Cloud platform as a whole and the integrations among different Cloud components and using one or more of AWS data and analytics services in combination with Spark, EMR, DynamoDB, RedShift, Athena, Lambda, Glue, Snowflake
  • Design and build production data pipelines from ingestion to consumption within a big data architecture, using any programming language like Java, Python, Scala
  • Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming
  • Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
  • Should have good experience in database, datawarehouse concepts, SCD1, SDC2, SQLs
  • Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
  • Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
  • Working closely with team members to drive real-time and batch model implementations for monitoring and alerting of risk systems.
  • Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Data modeling, diverse schema mid-high knowledge should be useful to pick-up other ETL tools on-demand
  • Decent knowledge in usage, accessing of ServiceNow, Infa support, share point.
  • Experience in life sciences/healthcare domain
  • Demonstrated communication and presentation skills (both oral and written) in addition to strong project management skills
  • Ability to work on several projects simultaneously and under challenging timelines
  • Flexible timing and working experience with offshore-onshore model

Qualifications/ Minimum qualifications:

  • B. Tech or Equivalent Degree

Preferred Qualifications:

  • Has experience in AWS S3, Athena, Glue, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake. Overall Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
  • ETL design and development
  • SQL queries, Data migration
  • Communication Skills

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job: Consultant

Job ID: ITO048792

Primary Location: India - Bangalore

Education Level: Bachelor's / Graduation / Equivalent

Job Posting: May 26, 2022

Master Skills List: Corporate

Job Category: Full Time