As a part of Data Engineering (DE), you will build solutions utilizing Glue ETL, Spark framework, Athena, S3, Lambda, SageMaker and other AWS services. Most of our coding is done in Python but Bash, Unix and other scripting expertise is also preferred. Along with development, Data Engineers help model and master data within data lake house and Personal Investor data lake. DE is also a critical partner to analytics and AI / ML teams, helping enable their insights.
You will also mentor engineers within the team. This division evolves rapidly and we need a DE that are ready to embrace the opportunity and challenge of those changes.
You may ask: What will it take to be successful in this DE role? We are looking for:
- Track record of great technical aptitude and teamwork
- Advanced to expert Python skills (or a comparable language)
- Advanced to expert knowledge of Spark framework
- Advanced to expert SQL abilities
- Solid AWS service and feature awareness
- History of growing your knowledge quickly and deeply
- Vanguard data experience is highly preferred
You may also ask: What am I going to learn in this DE role? You will:
- Sharpen your leadership abilities
- Grow your expertise in Python, Spark, and SQL
- Advance your understanding of AWS Glue ETL, Athena, S3, IAM, RedShift, Lambda, SageMaker and other services
- Build out significant skills in data modeling and data lake house
- Help create a platform that serves critical business needs
- Learn what it is like to work on a fast-paced, dynamic, and tight-knit team
Core Responsibilities
1. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
2. 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.
3. Translates 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.
4. 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.
5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
6. Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
7. Designs and conducts training sessions on tools and data sources used by the team and self provisioners. Provides job aids to team members and business users.
8. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
9. Participates in special projects and performs other duties as assigned.
Qualifications
- Minimum of eight years data engineering background.
- Hands-on experience in building out AWS or similar cloud data service.
- Undergraduate degree or equivalent combination of training and experience.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
Our commitment to diversity, equity, and inclusion
Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.
Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.
Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.
Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.
How We Work
Vanguard has implemented a hybrid working model for the majority of our 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.
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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.
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