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Tata Consultancy Services Logo

Developer

Tata Consultancy Services

$100,000 - $120,000
Aug 24, 2025
Raleigh, NC, US
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The Bank is looking to solve technical problems related to Data Engineering applications and Data integration pipelines

Requirements

  • Strong understanding of data modelling, data platform design, and data warehousing principles.
  • Experience in developing data warehouse solutions and end-to-end development life-cycle support and SDLC processes.
  • Knowledge of database platforms and application design.
  • Strong knowledge of technology infrastructure management.
  • Experience in data technology and delivery across multiple platforms (eg: Snowf lake, Netezza, Collibra, Oracle).
  • Experience with Data Movement & Consumption (Eg: ETL, ELT, dbt, DataStage, Informatica, Denodo).
  • Excellent understating for Data consumption & reporting techniques.

Responsibilities

  • Team Leadership - Mentors and trains team members. Utilizes expertise to provide guidance, feedback, and direction on complex matters.
  • Project Management - Leads specialized technical projects to include development of time estimates, determining scope, and addressing potential impacts.
  • Data Integrations - Collects data related to business requests and determines scope, time estimates, and system impacts.
  • System Enhancement - Leads team efforts to evaluate and improve Data Engineering systems, processes, and applications.
  • Designs modifications that fit within existing system architecture.
  • Trains less experienced associates and assists management in monitoring team performance.
  • Collaborates with peers, managers, and cross-platform teams to align projects and tasks with wider organizational goals.

Other

  • 8 years of experience in Technical work in Application Development, Server Administration, Information Security, or Engineering
  • Ability to lead & mentor technical teams towards success.
  • Outstanding presentation & communication skills, with ability to clearly articulate complex processes/situations to executive leadership.
  • Ability to maximize data-based value additions for key business units.
  • Collaborate with key stakeholders to define new data needs.