Data Engineer

Commonwealth Bank

To empower our people and the communities in which we work and making sustainable, transparent and balanced business decisions.

We really love working here, and we think you will too. Diversity, flexibility and innovation are just some of the reasons why our people come to work every day.

Our team includes around 45,000 people from all walks of life, with different goals, experiences, and perspectives. At CommBank we’ll encourage and support you to be yourself. This is a place where you can feel confident expressing who you really are; where you belong because of your uniqueness.

Data Engineer – Big Data

• You are determined to stay ahead of the latest Cloud, Big Data and Data warehouse 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 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 Big Data 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 work across the Cloudera Hadoop Big Data, Teradata Group Data Warehouse and Ab Initio platforms. 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 Cloudera Hadoop Big Data environment, using technologies like Spark, MapReduce, Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata. 
• Are experienced in building effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using common programming language (Scala, Java or Python), with proper data quality assurance and security controls.
• Are experienced in designing, building, and delivering optimised enterprise-wide data ingestion, data integration and data pipeline solutions for Big Data and Data 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, Java or Python) in a Big Data and Data Warehouse platform. 
• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Kafka and various ETL frameworks for distributed data storage and processing. 
• Strong Unix / Linux Shell scripting and programming skills in Java, Scala or Python.
• Experience in working in Agile teams, including working closely with internal business stakeholders.
• Familiarity with data warehousing and data mart build experience in Teradata, Oracle or RDBMS system is a plus.
• Certification on Cloudera CDP, Hadoop, Spark, Teradata is a plus.

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  Data Pipelines

  Develop and maintain processes for the extraction, flow, and transformation of data

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  SQL and Databases

  Use SQL to query databases to extract and process data

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  Scripting and Automation

  Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks

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  Numerical problem solving

  Works with numerical information and performs mathematical calculations to solve problems

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  Critical thinking

  Identifies and synthesizes patterns and trends amongst various sources of information to reach a meaningful conclusion, perspective or insight

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  Attention to detail

  Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables