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Lead Consultant, Senior Data Engineer

5.00 to 7.00 Years   Hyderabad   05 Mar, 2021
Genpact India Pvt Ltd
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Senior Data Engineer

  • 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
  • 10+ years in Data engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc)
  • 5+ years in 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
,

Keyskills :
content managementemailsqlanalyticsapachecontinuous improvement facilitationdata modelslife sciencesdata modelingprivate equitycustomer focus

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