Data Engineer (2023 / 2024 batch pass outs with experience in MS SQL Server, MSBI technology, Python)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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.

Qualifications

Basic Qualifications
Bachelor's degree, OR 3+ years of relevant work experience

Preferred Qualifications

• Bachelor's degree, OR 3+ years of relevant work experience
• Experience with distributed, scalable, concurrent, and low latency systems working with one or more of the following database technologies: MS SQL server, DB2, MySQL and NoSQL database such as Mongo DB.
• Experience working with Microsoft technologies like MSBI, Power BI, .Net, SQL Server, Python.
• Experience working in an Agile Development environment.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.