Data Engineer, Specialist

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

Vanguard’s India Office Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines to ensure seamless integration and efficient data flow across various platforms. This role involves designing, developing, and optimizing ETL (Extract, Transform, Load) processes, managing databases and leveraging big data technologies to support analytics and business intelligence initiatives.

Responsibilities Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.

Translate business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems. Leads all phases of solution development.

Explains technical considerations at related meetings, including those with internal clients and less experienced team members. Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding.

Provides data analysis guidance as required. Designs and conduct training sessions on tools and data sources used by the team and self-provisioners. Provides job aid to team members and business users. Tests and implement new software releases through regression testing.

Identifies issues and engages with vendors to resolve and elevate software into production. Participates in special projects and performs other duties as assigned. Qualifications and Skills Minimum 5 years of relevant work experience, with at least 2 years in designing and maintaining data pipelines, ETL processes and database architectures.

Bachelor’s or master’s degree in computer science, Information Technology, or related field. Examples: B.E., B.Tech., bachelor’s in computer applications (BCA), master’s in computer applications (MCA) 5–8 years of experience in data engineering, analytics engineering, or data platform development Strong proficiency in SQL and Python for data transformation and automation Hands-on experience building and supporting ETL/ELT pipelines Experience with AWS or similar cloud data platforms Solid understanding of data modeling, curated datasets, and BI/reporting use cases Demonstrated problem-solving skills and commitment to data quality and reliability Ability to communicate effectively with both technical and non-technical stakeholders Experience working in collaborative, agile team environments A quality‑first mindset, with experience building reliable, scalable, and observable systems Comfort using AI‑assisted engineering tools to improve developer productivity, code quality, and delivery flow Proficiency in DevOps concepts, tools and continuous delivery pipelines, specifically Git and GitHub Proficiency in Event Driven Architecture (Medallion Architecture) Proficiency in AWS technologies: CloudFront, S3, ECS, IAM, DynamoDB, Lambda, SNS, SQS, Glue, Step functions, Athena, PySpark and CloudWatch Proficiency in GenAI tools.

Example: Claude Code, Copilot Agent Preferred Certifications - AWS Cloud Practitioner, AWS Solutions Architect, AWS Solution Consultant, Databricks Location This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.

Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life.

Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness.

Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.

We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.