Data Platform Developer

7 hours ago

Adelaide, South Australia beBeeData Full time $100,000 - $140,000

Key Role in Data Engineering and Analytics

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We are seeking an experienced professional to join our team as a Data Services Specialist.

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As a Data Services Specialist, you will be responsible for integrating, formatting and presenting relevant analyses and data visualisations to communicate results, findings and recommendations to various business users.

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This is a key role within the organisation, working alongside different functions to develop the data and analytics platform.

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You will design and develop data engineering assets and scalable feature engineering frameworks to support various business units and internal data science activities.

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Additionally, you will expand data platform capabilities by identifying, sourcing and integrating new data to resolve new data problems and challenges.

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Responsibilities include peer review code, promoting DevOps culture within the team, and implementing solutions adhering to architecture best practices.

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You will also work closely with the data scientist team and technology function to engineer features required to support the development of machine learning models.

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  • Design and develop data engineering assets and scalable feature engineering frameworks to support various business units and internal data science activities.">
  • Expand data platform capabilities by identifying, sourcing, and integrating new data to resolve new data problems and challenges.">
  • Peer review code, promote DevOps culture within the team, and implement solutions adhering to architecture best practices.">
  • Develop ETL solutions using Python, Databricks, Spark, and Microsoft Azure Technology Stack to load data across multiple sources into the data and analytics platform.">

About You:

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You will have proven experience in data management, solution designs and delivery. Advanced communication skills, able to articulate, present, influence and negotiate with key stakeholders.

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Knowledge and understanding of end-to-end data management lifecycle and data quality management.

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A flair for learning new data tools and best practices.

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  • Solid experience using MS Stack: Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI and SQL.">
  • Experience working MongoDB, Graph databases, programming languages (R, Python, Spark ETL SQL VStudio), CI/tools (Bamboo, or similar), GitHub, Jira and Confluence.">
  • Passionate in learning about new data tools and best practice">
  • Strong working knowledge of the end-to-end data management lifecycle and data quality management.">

The Ideal Candidate:

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Will have a strong background in data engineering, including experience with data pipelines, data modeling, and analysis. Additionally, excellent communication and collaboration skills are essential for this role.

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Why Choose Us?

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We value our employee's experience with us and are proud to have been recognised for the following awards:

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  • 2021 LinkedIn Top Employer & HRD Employer of Choice">
  • 2020 Best Workplace Diversity & Inclusion and Excellence Award for Best Health & Wellbeing at the Australian HR Awards">
  • Platinum employer on the Australian Workplace Equality Index (AWEI) – the definitive national benchmark on LGBTQI+ workplace inclusion">
  • Ranked 3rd place in the AAGE Top Graduate Employers 2023 for medium sized program as voted by graduates">
  • Top 20 Workplaces for Dads in 2019 and 2020 (HBF Direct Advice for Dads)">
  • Family First accredited employer since 2021">

Our Commitment to Inclusivity:

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We are committed to an inclusive workplace where everyone feels valued and respected for who they are.

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Join Our Team:

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Together we can achieve great things

"]},

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