Senior Unified Data Platform Specialist

5 days ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $90,000 - $120,000

Job Description:

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  • We are seeking an experienced data engineer to build a unified data platform that powers our suite of AI tools and insights delivery.
  • The successful candidate will be capable of assessing existing architectures and strategically identifying opportunities to improve our data platform.
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Key Responsibilities:

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  1. ">
  2. Architecting a unified data platform - Define, map and model the data and data-flows from multiple systems in line with our target data architecture.">
  3. Create and manage data pipelines - that enable the ingestion, transformation, and loading (ETL/ELT) of data from various sources into our Azure data ecosystem.">
  4. Support the AI and insights functions - Bring together resources so our data teams are accessing the same data.">
  5. Data management - Be able to build quality checks and tests for all newly developed code and data assets, checking for completeness and integrity against established processes.">
  6. Collaboration - You can work in a cross-functional team with AI engineers, analysts, and full-stack developers.">
">

Required Skills and Qualifications:

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  • ">
  • 3+ years of relevant work experience in data engineering">
  • Experience with Databricks">
  • Strong understanding of ETL & ELT data migration patterns">
  • Experience developing and maintaining data pipelines (DBT, FiveTran, Stitch, Talend, etc)">
  • Experience with orchestration tools (Airflow, Dataflow, AWS Glue, etc.)">
  • Proficiency in a relevant programming language (Python, JavaScript, etc.)">
  • Proficiency in SQL and a deep understanding of relational DBMS">
">

Benefits:

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  • ">
  • Previous experience with Azure cloud is highly desirable">
  • DevOps experience is highly desirable">
  • Experience with Big Data technologies (Spark is highly desirable)">
">

About You:

">
  • ">
  • You have 3+ years of relevant work experience in data engineering">
  • You have experience with Databricks">
  • You have a strong understanding of ETL & ELT data migration patterns">
  • You have experience developing and maintaining data pipelines">
  • You have experience with orchestration tools">
  • You have proficiency in a relevant programming language">
  • You have proficiency in SQL and a deep understanding of relational DBMS">

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