Databricks Analytics Engineer at Cuscal

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Spark, Data Modelling, Python, SQL, ETL, Analytics, PowerBI, Financial Services, Big Data, Scrum, Data Management, Data Pipelines, Delta Lake, Problem Management, Software Delivery Lifecycle

Industry

Financial Services

Description

Company Description Forward with Cuscal At Cuscal, we’re not just shaping the future of payments - we’re pioneering it. From launching Australia’s first ATM to being the first certified NPP PayTo Payer and Initiator in 2022, we’ve spent over 59 years building solutions that millions of Australians rely on every day. Now, we’re preparing for what’s next, and we want you to be part of it. Join us as a Databricks Analytics Engineer in our Data Domain and help us deliver ground-breaking solutions that push the boundaries of what’s possible. Job Description We’re looking for a Databricks Analytics Engineer to join our Data Domain. In this role you will be primarily focused on building data models that are utilized across the enterprise for downstream analytics. You’ll also make an impact by: Develop efficient data pipelines using optimized, performant spark on Databricks Medallion architecture. Work with our Data Practice to support Data Management initiatives. Participate in discovery workshops to understand business process to capture the relevant entities and attributes for downstream analytics. Work with the product owner to design solutions that address identified pain points. Employ Cuscal infrastructure for extraction, transformation, and loading of data from a wide variety of data sources using ‘Big Data’ technologies. Create and maintain Data pipelines in an efficient manner. Maintain, troubleshoot, and improve the workflow and job scheduling of ETL processes. Assist in the design & development of analytic solutions built within Databricks. Perform and participate in Data modelling design and solution to process complex, large data for analysis (e.g. hierarchies of datasets, inter-relationships, partitions, views, etc.) Qualifications What you’ll bring To succeed in this role, you’ll have: 2+ years working in Spark/Databricks Understanding of Kimball data modelling and building efficient spark pipelines for data modelling transformations. Good knowledge in Databricks, Delta lake and Data modelling techniques. Experience in one or more programming languages, Python preferred Experience debugging and writing SQL queries. You’ll stand out from the crowd if you have some of the following: Experience in Analytics and PowerBI preferred. Experience in the financial services or payments sector Experience working with any meta data based ingestion frameworks. Knowledge of Software Delivery Lifecycle techniques and methodologies Run problem management process to isolate root cause, sound exposure to change and release management methodologies Knowledge and experience working in a team using Scrum methodologies Additional Information Why Cuscal? At Cuscal, you’ll find a strong, successful company that’s reimagining the future. And our team is right there at the heart of it all. Here, you’ll deliver or support interesting, ground-breaking work that has real impact - on Australia’s financial services sector and the millions of customers it serves. You’ll innovate alongside skilled, smart, connected teams. And you’ll build an impressive, fulfilling career that continues to grow. You’ll also enjoy a range of benefits, including: Work in a hybrid model that supports your lifestyle and goals We celebrate success: Our IGNITE program recognises individual and team achievements. Wellbeing focus: We support your physical, mental, and financial health with holistic initiatives and access to discounts via ‘Cuscal Advantage.’ Join us and reimagine the future If this role excites you, we’d love to explore your potential and vision for the future. Screening and interviews may occur before the job ad closing date, so don’t wait - apply now. For further information about this role please contact [email protected] Cuscal is an equal opportunity employer committed to an equitable, diverse, and socially inclusive work environment and a positive, barrier-free recruitment process. We welcome applicants from an Aboriginal and Torres Strait Islander heritage, people living with a disability, LGBTQIA+ and people from culturally diverse backgrounds to explore career opportunities with Cuscal. Note: Cuscal does not accept unsolicited resumes from recruitment agencies or search firms.

Responsibilities

The Databricks Analytics Engineer will focus on building data models for enterprise analytics and developing efficient data pipelines using Databricks Medallion architecture. They will also assist in designing analytic solutions and improving ETL processes.