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Staff / lead data engineer (aws, big data) (new south wales) [zt-955]

Commonwealth Bank
Posted: 22 September
Offer description

Staff / Lead Data Engineer (AWS, Big Data)

Overview

We are one of the largest and most advanced Data Engineering teams. You are determined to stay ahead of the latest Cloud, Big Data and Data Warehouse technologies and work at the forefront of Big Data and data-driven solutions.

As a Staff Data Engineer with expertise in software development and a passion for building data-driven solutions, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking and solve customers’ most complex data-centric problems using the latest tech.

See yourself in our team

Data powers our cutting-edge features and enables 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, decisioning and Generative AI. We work across platforms like AWS Cloud, Cloudera Hadoop Big Data, Teradata, Ab Initio, Gen AI, and more.

What you will hear from us

- You possess commendable experience in driving cost‑effective and technically feasible solutions, steering solution decisions across the group to meet operational and strategic goals.
- You provide thought leadership and contribute to the design of technical solutions and consumption patterns, including data security and data management.
- You are responsible for technical governance, implementation, risk management and adoption for programs of work.
- You provide technical leadership and mentor other engineers in Agile teams delivering project work or initiatives.
- You educate, communicate and coordinate with different internal stakeholders and consultants.
- You have experience delivering data‑driven solutions sourcing data from various enterprise data platforms into AWS Cloud Big Data environments, using technologies such as Spark/EMR, MapReduce, Athena/Hive, Sqoop, Kafka; transform data to produce data assets and move to other platforms like Teradata or RDBMS (Redshift).
- You have experience building effective Big Data and Data Warehouse frameworks, capabilities, and features using programming languages such as Scala, Java, or Python, with data quality and security controls.
- You design, build and deliver optimized enterprise-wide data-driven solutions in the Cloud to build various enterprise data platforms on AWS using S3, EMR, Glue, Iceberg, Athena, Kinesis or MSK/Kafka; transform data to produce data assets for Redshift / PostgreSQL and DocumentDB / MongoDB.
- You are confident in building group data products or data assets from scratch, integrating large sets of data from hundreds of internal and external sources.

Technical skills

We use a broad range of tools, languages, and frameworks. 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 Scala, Java, or Python in a Big Data and Data Warehouse platform.
- Experience in building data solutions on Hadoop platforms using Spark, MapReduce, Sqoop, Kafka and ETL frameworks for distributed data processing and storage (HDFS Parquet, ORC, JSON, etc.).
- Experience in building data solutions using AWS Cloud technologies (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift/PostgreSQL, DocumentDB/MongoDB, S3, etc.).
- Ability to produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc.
- Expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non‑dimensional schemas.
- Strong Unix/Linux shell scripting and programming skills in Scala, Java, or Python.
- Proficient in SQL scripting, writing complex SQLs for building data pipelines.
- Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS systems is a plus.
- Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS Data Practitioner/Architect.

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 flexible work locations. 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 everyday.

If this sounds like the role for you, we would love to hear from you. 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.

We’re aware of some accessibility issues on this site. If you require additional support please contact HR Direct on .

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