Data Engineer, Specialist

• Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Data Quality
  • Management
  • Data Storage
  • Relational Databases
  • High Availability
  • Scalability
  • Business Intelligence
  • Analytical Skill
  • Orchestration
  • Apache Airflow
  • Extract
  • Transform
  • Load
  • Workflow
  • Operational Efficiency
  • Data Engineering
  • Data Analysis
  • Database Administration
  • Data Management
  • Training
  • Data Modeling
  • SQL
  • Database
  • PostgreSQL
  • MySQL
  • Oracle
  • Microsoft SQL Server
  • Big Data
  • Apache Spark
  • Apache Hadoop
  • Databricks
  • Python
  • Scala
  • Java
  • Data Processing
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Amazon Redshift
  • Snow Flake Schema
  • Finance
  • Collaboration

Summary

{"description": " Role Summary

The Data Engineer, Senior Specialist is responsible for designing, developing and optimizing data pipelines and architectures to support scalable and efficient data processing. This role involves working with complex datasets, integrating multiple data sources and ensuring high data quality and reliability.

Responsibilites
1. Develop and maintain efficient ETL (Extract, Transform, Load) pipelines that ingest, process and transform large datasets from diverse sources.
2. Build and manage data storage solutions using relational and non-relational databases, ensuring high availability, performance and scalability.
3. Work with APIs, third-party data sources and internal databases to create unified datasets that provide actionable insights for business stakeholders.
4. Partner with business intelligence analysts, data scientists and software engineers to design and implement data-driven solutions that meet business requirements.
5. Design optimized data schemas and structures that support analytical workloads and improve query performance.
6. Leverage orchestration tools like Apache Airflow or Prefect to automate ETL workflows and improve operational efficiency.
7. Provide technical guidance, review code and promote best practices within the data engineering team.

Qualifications and Skills
  • 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.
  • Data modeling experience is required.
  • Proficiency in SQL and database technologies such as PostgreSQL, MySQL, Oracle, or SQL Server.
  • Hands-on experience with big data frameworks like Apache Spark, Hadoop, or Databricks.
  • Strong programming skills in Python, Scala, or Java for data processing and automation.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, particularly in data services like AWS Glue, Redshift, Big Query, or Snowflake.

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.", "salary_raw": null}
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24207751
  • Posted 2 hours ago
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