Chapter Lead - Data Engineer

Job Description

Organization:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Chapter Lead

Location: Bangalore

Business & Team:

The Chief Data and Analytics Office (CDAO) – Data Platforms is in place to realise a data-driven organisation for Commonwealth Bank Group. We do this by solving complex problems around data for the business and activating data for strategic and sustained competitive advantage to enhance the financial wellbeing of our customers in a safe, sound and secure way.

As we embark on our cloud journey, the team is focussed towards building robust data processing frameworks for the bank, enabling secure and seamless data processing for our tenants in simplified and automated way.

Impact & contribution:

As part of data engineering family, you will be part of a large cloud engineering cohort that are all aligned on executing the technology strategy, working alongside AWS Engineers and Cloud Architects to help create scalable and federated cloud native systems. You will lead a team that will create, manage and optimise the data platforms used to power our entire business. You’ll have the opportunity to take responsibility for thought leadership, people management, capability uplift, continuous improvement, ensuring our crews are inspired to do the work that matters, and that our systems are simpler, faster and more secure to deliver outcomes.

Roles & Responsibilities:

• Be hands-on with development of AWS services to build Data platforms which covers end-to-end functionalities like Ingestion, transform, orchestration, observability etc.
• Colloborate with Product Owners and Principal engineers to drive product architecture, technology and delivery.
• Ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks.
• Natural leaders that drive a culture where quality, excellence and openness are championed.
• Good at identifying technology limitations and deficiencies in existing systems and associated platforms to develop scalable and sustainable long-term solutions.
• Able to drive data transformational projects, creating a positive leadership impact within the crews by encouraging diversity of thoughts, to uplift the chapter’s overall technical capability.
• Are comfortable working across the full lifecycle of agile projects (ideation through implementation).
• Have experience in implementation of data platforms at Enterprise level.

Essential Skills:

• 14+ years of relevant experience in data engineering.
• Proven Experience in building Enterprise Level Data Platforms using AWS services (EMR, Glue, S3,Lambda, Athena, Redshift, Kinesis, streaming, MWAA etc.)
• Strong expertise in Pyspark and EMR.
• People management experience with previous experience in playing leadership roles within data engineering chapter and a background of engineering experience.
• Experience implementing large scale self-service enterprise data platforms highly desirable
• Experience in building scalable frameworks on cloud platforms, with a focus on automation and innovation.
• Exposure to Big Data technologies (Hadoop, Hive) and dynamic ingestion processes.
• Skilled at driving a strategy of creating a best-in-class AWS based cloud based data platform.

Education Qualification : Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.