Senior Data Engineer — The Rocks, Sydney

Expired

Senior Data Engineer You are determined 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 Senior 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 cutting-edge features and it's the reason we can provide seamless experiences for millions of customers from app to branch. We're 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. Enthusiastic, be able to contribute and learn from wider engineering talent in the team. Ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks. Capable to create both technology blueprints and engineering roadmaps, for a multi-year data transformational journey. Can lead and drive a culture where quality, excellence and openness are championed. Constantly thinking outside the box and breaking boundaries to solve complex data problems. We are also interested in hearing from people who: Are experienced in providing data driven solutions that source data from various enterprise data platform into data lake, using technologies like Scala, Python, PySpark; transform and process the source data to produce data products , transform and egression to other data platforms like SQL Server ,Oracle, Teradata and other cloud platforms. Are experienced in building effective and efficient Data Lake frameworks, capabilities, and features, using common programming language (Scala, PySpark or Python), with proper data quality assurance and security controls. Are experienced in creating python /scala functions/libraries and use them for the config - driven pipeline generation and delivering optimised enterprise-wide data ingestion, data integration and data pipeline solutions for Data Lake & warehouse platforms. Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources. Can collaborate, co-create and contribute to existing Data Engineering practices in the team. Have experience and responsible for data security and data management. Have a natural drive to educate, communicate and coordinate with different internal stakeholders. Technical skills We use a broad range of tools, languages, and frameworks. We don't expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team. Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, PySpark or Python) in a Big Data and AWS cloud based Data Warehouse platform. Hands on experience in relational, non-relational and semi-structured data experience in object data modelling Experience in building data solution in native AWS cloud data services , Kafka and various ETL frameworks for distributed data storage and processing. Strong scripting and programming skills in PySpark, Scala or Python. Experience in working in Agile teams, including working closely with internal business stakeholders. Strong Amazon AWS Skills for Data, Streaming, Ingestion, and Transformation like Redshift, Glue, LakeFormation, CloudFormation etc Experience in working in Airflow for orchestration is a plus Familiarity with data warehousing; AWS or Spark is a plus. 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. Don't miss out on this opportunity and APPLY TODAY If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career. 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