Staff Data Engineer

Staff Data Engineer

• You are passionate to stay ahead of the latest AWS Cloud, and Data Lake technologies.
• We're one of the largest and most advanced Data Engineering teams in the country.
• Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers. 

Do work that matters

As a Staff Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of AWS Cloud and Data warehouse technologies. 

Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems.

To us, data is everything. It is what powers our innovative features and it’s the reason we can provide seamless experiences for millions of customers from app to branch.

We are responsible for CommBank’s key analytics capabilities and work to create world-leading capabilities for analytics, information management and decisioning.

We are seeking people who

• Are Passionate about building next generation data platforms and data pipeline solution across the bank.
• Are Enthusiastic, be able to contribute and learn from wider engineering talent in the team.
• Have got proven track record of Agile delivery including leading and working on End to end delivery of project.
• Have ability to lead, direct, coach and guide software developers.
• Drive pragmatic and fit for purpose solutions of high technical quality.
• Are Pro-actively looking for ways to provide faster feedback, including uplift in test automation maturity in the squad.
• Constantly thinking creatively and breaking boundaries to solve complex data problems.

We are also interested in hearing from people who

• Have Experience with building spark-based pipelines.
• Experience working with Cloudera Data Platform
• Have experience with large migration programs and automating things to scale up migrations from on-prem to cloud
• Have Knowledge of data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Have Understanding of data modeling, schema design, and data architecture principles.
• Have Knowledge of data governance practices, data privacy regulations, and security measures.
• Have Familiarity with DevOps practices and tools for CI/CD (e.g., Github, Jenkins, Docker, Kubernetes).

Technical skills

Essential:

• Proficient in programming using Advanced SQL
• Experience with Hadoop ecosystem (HDFS, MapReduce, YARN).
• Proficiency in Spark for large-scale data processing.
• Deep understanding and experience (preferred) with Kafka for real-time data streaming.
• Deep understanding of handling complex file formats and structures
• Deep understanding of traditional data warehouse concepts (Facts/Dims, normalization) and
• event driven data architecture

Preferred:

• MSK (Kafka)
• Redshift
• Glue ETL
• S3
• Parquet File Format, Iceberg

Working with us: 

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. 

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with a flexibility to work from any of our engineering hubs in Sydney. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. 

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. You’ll be empowered to do your best work and be given the choice on when and where that work happens. We really love working here, and we think you will too. 

Advertising End Date: 13/12/2024