Data Design Engineer for Big Data Solutions
7 days ago
Job Summary:
We are seeking a seasoned Data Design Engineer to join our team at the Commonwealth Bank. This role is ideal for an experienced professional with a strong background in data modelling, big data platforms, and solution design.
About Us:
The Commonwealth Bank is one of Australia's leading financial institutions, dedicated to providing innovative banking solutions to our customers. As part of our Chief Data and Analytics Office teams, you will be responsible for designing and developing industry-leading group data products.
Key Responsibilities:
- Design and develop end-to-end big data solutions using Hadoop eco-systems (Hive, HDFS, Pig, HBase, Flume, Kafka, Sqoop, YARN, Impala)
- Produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc.
- Develop data warehousing and enterprise analytics-based solutions using Teradata or relevant data platforms
- Collaborate with cross-functional teams to drive cost-effective and technologically feasible solutions
Requirements:
- Masters degree in Computer Science, Mathematics, Statistics, or related field
- Minimum 5 years experience in big data platform engineering
- Proficiency in programming languages such as Java, Python, Scala
- Familiarity with machine learning libraries and frameworks
- Strong understanding of database systems and data modeling principles
What We Offer:
- A competitive salary package of $120,000 - $160,000 per annum, based on experience
- A comprehensive benefits program, including health insurance, superannuation, and flexible work arrangements
- Ongoing training and development opportunities to enhance your skills and knowledge
- A collaborative and dynamic work environment with a team of experts in the field
How to Apply:
If you are a motivated and experienced professional looking for a new challenge, please submit your application through our website. We look forward to hearing from you.
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