Senior Data Engineer (AWS Cloud)

Posted 9 Days Ago
Be an Early Applicant
NSW
Senior level
Fintech • Financial Services
The Role
As a Senior Data Engineer, you will be responsible for building and maintaining AWS Cloud data solutions, ensuring high-quality outcomes through advanced coding practices, and developing data integration pipelines. You will collaborate with various teams to create and implement data platforms, manage data security, and educate stakeholders on data-related solutions.
Summary Generated by Built In
  • 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 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 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. 
  • 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 take the lead and drive a culture where quality, excellence and openness are championed. 
  • Constantly thinking creatively and breaking boundaries to solve complex data problems. 

We are also interested in hearing from people who: 

  • Are data enthusiastic in providing the 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 practiced 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. 
  • Demonstrated experience 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 reliable 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 

 

Should have AWS Services:

  •  
  •  Airflow
  •  Redshift
  • Glue ETL
  • DMS
  • EMR,
  • KMS,
  • MSK (Kafka)
  • S3
  • CFN/CDK

 

Developed knowledge/understanding of (good to have):

  • Sql /NoSql data structures
  • Parquet File Format, Iceberg
  • Deep understanding of handling complex file formats and structures
  • Deep understanding of traditional data warehouse concepts (Facts/Dims, normalization) and
  • event driven data architecture.

 

Proficient in Programming (essential):

  • Python, PySpark, Advanced SQL

 

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. 

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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Advertising End Date: 29/11/2024

Top Skills

Python
Scala
The Company
HQ: Sydney, New South Wales
52,000 Employees
On-site Workplace
Year Founded: 1911

What We Do

Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services.

We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.

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