Principal Consultant, Senior Data Engineer

Principal Consultant, Senior Data Engineer

Not Specified
Not Specified

Job Description

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. Come, transform with us!
Are you the one we are looking for
Inviting applications for the role of Senior Data Engineer Responsibilities
  • 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 and designing the 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
Qualifications/Minimum qualifications
  • Graduate / Post Graduation degree in Business, Computer Science or Quantitative Sciences
  • Data engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc)
  • Data Designing with multiple domain experiences
  • Strong in scripting language - Pyspark, Python, Pl/SQL.
  • Industry domain experience in one or more of Lifesciences, Consumer products, Capital Markets, Private Equity, Capital Markets, Banking, Insurance, Industrial Manufacturing or Hospitality
  • Strong technical understanding of modern data architecture. Expert in Data modelling and data integration methods
  • Demonstrated experience with Analytics implementations and/or data and reporting projects
  • Understanding of analytic Cloud modernized data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT
Preferred Skills
  • Prior experience in Azure cloud environment with Azure stack and AWS (ADLS, ADF and Databricks)
  • Experience in crafting data models as per domain specific.
  • Working with team and running product build and delivering as per plan
  • Experience with cloud-based analytic databases such as Snowflake
  • Knowledge 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

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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!

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