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 complex and 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 expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.
5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
6. Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client.
7. Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
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 analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Preferred Qualifications: - Hands-on experience with AWS cloud services, including EMR, S3, EC2, Lambda, SNS, Step Functions, Glue, and ECS, for building, orchestrating, and operating scalable data pipelines and data platforms.
- Strong programming skills in Python and SQL, with the ability to write efficient, maintainable code for large-scale data processing, transformation, and analysis.
- Solid understanding of data modeling and data warehousing concepts, including dimensional modeling, ETL/ELT patterns, and designing analytics-ready datasets.
- Experience with Big Data technologies, including Apache Spark, Spark SQL, and PySpark, to process and transform large, complex datasets in distributed environments.
- Experience working in an Agile, CI/CD-driven environment, leveraging tools such as Git, Bitbucket, Bamboo, and JIRA for version control, automated builds, deployments, and sprint execution.
- Experience supporting analytics and business intelligence use cases, including working with BI tools such as Tableau to enable data consumption, reporting, and insights.
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.
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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