Data Engineer at Tata Consultancy Services in Atlanta, Georgia

Posted in Other 2 days ago.

Type: full-time





Job Description:

Job Title : Lead Data Engineer

Exp: 12+ yrs

Job Description:

Must Have Technical/Functional Skills
  • Senior Data Engineer with development and Architectural background in GCP, GBQ, SQL queries
  • 8+ years of relevant work experience
  • Must have experience in Cloud platform, good to have GCP background
  • Must have understanding and working knowledge of GBQ and any other DB
  • Must have E3 proficiency in SQL Technologies
  • Must have experience in Data optimizing and automation of manual process
  • Must have deep understanding of working knowledge of any system supported/worked on
  • Must have Unit testing experience
  • Good to have Integration Testing experience
  • Must have strong analysis, problem solving, and troubleshooting skills
  • Must have strong verbal and written communications skills
  • Must have experience in providing short term and long terms technical solution for the business problems

Experience Required

GCP, GBQ, SQL queries - Preferred to have

Any Cloud platform experience, Any SQL technology - Good to have

Roles & Responsibilities

Assembling large, complex sets of data that meet non-functional and functional business requirements

Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using GCP and SQL technologies

Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues

Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
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