Overview
On Site
Full Time
Skills
Data Processing
Python
Streaming
Amazon Web Services
Amazon Kinesis
Apache Kafka
Apache Flink
SQL
Relational Databases
Data Warehouse
Amazon Redshift
Snow Flake Schema
Data Lake
Apache HTTP Server
Apache Hive
Data Modeling
Extract
Transform
Load
Data Integration
Agile
OOD
Data Structure
Dependency Injection
Algorithms
Software Engineering
Eclipse
Git
Quick Learner
Real-time
Data Engineering
Analytics
Training
Software Development
Communication
Problem Solving
Conflict Resolution
Organizational Skills
Instrumentation
Finance
Collaboration
Job Details
Required Skill set: (Please don't apply if you do not have these skills and experience)
What it takes:
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.
- Proven experience as a Data Engineer
- Familiarity 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 principles
- Experience 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 experience
- Software Development experience
- Strong written and oral communication skills
- Strong, demonstrated analysis and problem-solving skills.
- Strong planning and organizational skills
- Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.
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.
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.