Senior Manager - R%26D

2 Applied
Job Description

Data Engineering Lead (Deep expertise in products & solution build)
: Digital
Bangalore/Hyderabad/NCR, India (Hyderabad is preferable)
With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world&rsquos biggest brands&mdashand we have fun doing it. Now, we&rsquore calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Come, transform with us.
Inviting applications for the role of Principle Consultant - Data Engineering Lead

Genpact&rsquos Data Engineering is a prioritized strategic focus area. As a part of our market leading analytics organization, we have been investing in building products and solutions in cloud data management space. Primary focus will be to develop products and offerings
This is exciting because you will have the chance to:

  • Define product strategy and design for the development, evolution, and transformation of our data foundations supporting BI, client reporting and Artificial Intelligence / Machine Learning projects

  • Working with Customers to gather requirements, then lead the design and build

  • Prioritize efforts based on thorough understanding of customer and business needs,

  • Collaborate with teams to help them understand the product and flow

  • Work with customers and Product owners to validate concepts and requirements

  • Oversee and provides guidance for solutions to complex technical problems by challenging traditional technical assumptions.

  • Identify any gaps in functionality or user experience proactively

  • Monitoring data models and domain architectures and coordinating with teams

  • Monitoring cost involved in infrastructure and maintaining to reduce

  • Helping team in understanding Technical and functional flows


  • Data Engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc) building ETL/ELT Pipelines using Azure Stack (Azure Data Factory, Azure Data Bricks, Azure Synapse Analytics) or AWS Data Pipeline Stack (EMR, Athena, Glue, S3, Redshift etc)

  • Strong in scripting language - Pyspark/Python, Pl/SQL/T-SQL

  • Strong technical understanding of modern data architecture. Experience in Data modelling and data integration methods

  • Demonstrated experience in Conceptualizing, Designing and Building E2E data pipelines for structured, semi structured data

  • Experience in Azure Databases like Synapse and SNOW Flake, Oracle 12g, SQL Server.

  • Prior experience with SDLC and Agile working methodologies/environment is preferred

  • Prior experience working with Data Scientists to put Machine Learning models into production is preferred

  • Excellent communication and client facing skills


  • Graduate / Post Graduation degree in Business, Computer Science or Quantitative Sciences

  • Data engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc)

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 , , , and .

Job Source:

Genpact is an American professional services firm legally domiciled in Bermuda with its headquarters in New York City, New York. The company currently employs more than 100,000 people and provides services to clients in over 30 countries worldwide

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