Jobs
Benefits & Perks
•Flexible Hours
•Flexible Hours
Required Skills
Python
SQL
Data Engineering
ETL
Data Modeling
Required Skill set: (Please don't apply if you do not have these skills and 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.
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About Vanguard
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
2.8
Career
3.5
Management
3.0
45%
Recommend to a Friend
Pros
Competitive compensation package with bonuses
Good foundation for career development
Interesting programs aligned with education
Cons
Long commute requirements (2.5 hours)
Mandatory on-site presence multiple days
Pay below industry standards
Salary Ranges
1,532 data points
Junior/L3
Junior/L3 · Client Relationship Associate
529 reports
$60,018
total / year
Base
$55,076
Stock
-
Bonus
$4,942
$46,375
$78,763
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter/HR Phone Screen
3
Technical/Case Study Round
4
Final Round Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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