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 solutions using Databricks, Python, SQL, and cloud technologies. The role focuses on designing and optimizing data pipelines, implementing end-to-end data models in collaboration with business stakeholders, and deploying reliable data solutions that enable analytics, reporting, and business decision-making.
Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Python, and SQL to support enterprise data needs.
Manage end-to-end data modeling in collaboration with business stakeholders, translating business requirements into scalable and efficient data models.
Build and optimize data ingestion, transformation, and processing workflows across multiple data sources and platforms.
Develop reusable and maintainable solutions using Python (Functional Programming and Object-Oriented Programming principles).
Deploy and manage data infrastructure and workflows using Terraform and cloud-native services.
Work with AWS and/or GCP environments to build scalable and secure data solutions, with adherence to cloud security best practices.
Partner with engineering teams and business stakeholders to deliver high-quality, trusted datasets that support reporting, analytics, and business initiatives.
Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data integrity.
Contribute to the adoption of modern data engineering practices, automation, and platform enhancements within the organization.
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 degree (B.E./B.Tech) in Computer Science or IT, or Bachelor’s in Data Science, Statistics, or related field.
Hands-on experience with Databricks, including development and deployment using Asset Bundles.
Strong programming expertise in Python, including Functional Programming and Object-Oriented Programming (OOP) concepts.
Advanced proficiency in SQL for data processing, transformation, optimization, and analytics.
Experience managing end-to-end data modeling and collaborating with business stakeholders to design effective data solutions.
Experience working with AWS and/or GCP cloud platforms; understanding of cloud security principles is highly preferred.
Experience with infrastructure deployment and automation using Terraform.
Good to Have: Experience with big data technologies, cloud data services, relational and NoSQL databases, and exposure to data architecture modernization, platform migration, and advanced analytics initiatives.
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.
Skills Required
- Minimum 5 years of relevant work experience (including at least 2 years designing and maintaining data pipelines and ETL processes)
- Bachelor's degree in Computer Science, IT, Data Science, Statistics, or related field
- Hands-on experience with Databricks, including development and deployment using Asset Bundles
- Strong programming expertise in Python (Functional Programming and OOP principles)
- Advanced proficiency in SQL for data processing, transformation, optimization, and analytics
- Experience managing end-to-end data modeling and translating business requirements into data models
- Experience working with AWS and/or GCP cloud platforms
- Experience with infrastructure deployment and automation using Terraform
- Understanding of cloud security principles
- Experience with big data technologies, cloud data services, relational and NoSQL databases
- Exposure to data architecture modernization, platform migration, and advanced analytics initiatives
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
