In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports Vanguard's Quantitative Equity Group's (QEG) cloud enabled investment research capabilities, including signal generation, optimized back testing capabilities, proprietary software packages, and data and analytics platforms. These platforms are used in the portfolio management of QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization. If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you. We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owner and an extremely motivated team of developers committed to working in an Agile environment. You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production. A passion for mentoring and coaching others is highly desirable. You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure.Required Skill set: (Please don't apply if you do not have these skills and experience)Proven experience as a Data EngineerFamiliarity with real-time data processing and analytics.Strong proficiency in Python programming for data engineering tasks. Experience using Python libraries and frameworks.Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, Apache Flink, or similar technologies.Solid understanding of SQL and experience working with relational databases (e.g., Aurora)).Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake).Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc).Knowledge of data modeling, ETL processes, and data integration best practices.At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.Familiarity with Agile Development principlesExperience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.Experience with software engineering tools, such as Eclipse, Git, and others.Able to write clean, maintainable code, and read code created by others.Highly collaborative, fast learner, willing to jump in and help wherever needed.Enthusiasm for learning and experimenting with latest trends and advancements in real-time data engineering and analytics technologies.What it takes:Undergraduate degree in a related field or the equivalent combination of training and experienceSoftware Development experienceStrong written and oral communication skillsStrong, demonstrated analysis and problem-solving skills.Strong planning and organizational skillsAbility to implement instrumentation to gather business-specific metrics around consumer usage patterns.Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.About VanguardAt 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 WorkVanguard 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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