Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Visa Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Description

Are you passionate about Data Engineering? Do you like to address the most sophisticated and large-scale data challenges? Come join us

Our HR and Learning systems landscape are comprised of home-grown and vendor applications such as Workday, ADP, Smart Recruiters, Degreed, Absorb, and many others. We have embarked on a major transformation journey to leverage a variety of vendor applications and custom software, to build a connected systems architecture, that is reliable, trusted, responsive, and always available. We are crafting the next generation of employee experiences and journeys via self-service portals, embedding HR capabilities within commonly used applications, applying Artificial Intelligence & Machine Learning, mastering Data management and insights, and applying Automation.

We are looking for a Data Engineer to build next generation analytics and reporting platform. The successful candidate will be a well-rounded data engineer with a strong expertise and experience in building applications with Data Warehouse technologies like MSBI, Azure Synapse etc.

This position will be based in Bangalore, India. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Job Responsibilities

  • Work with business partners and team members to fully understand business requirements and desired business outcomes.
  • Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
  • Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa's data scientists.
  • Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis.
  • Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
  • Implement data engineering projects ranging from small to large either individually or as part of a project team.
  • Ensure project delivery within timelines and budget requirements.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

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