Senior Data Engineer

2 weeks ago

Sydney, New South Wales, Australia AI Hustler Full time $120,000 - $180,000 per year

We're partnering with a rapidly evolving leader in the
Logistics and Supply Chain
sector, dedicated to
optimising
complex global operations and improving operational efficiency through data. For the right candidate with the necessary skills and experience, we are pleased to offer
482 visa sponsorship
.

This client requires a
Senior Data Engineer
to act as a technical authority for their entire data platform built on
AWS
. You will take the lead in
architecting, building, and governing
highly scalable, real-time data pipelines (streaming and batch) that ingest, transform, and serve critical operational and analytical data. You will champion engineering best
practises
and mentor junior team members, directly enabling complex business intelligence and machine learning initiatives.

What You'll Do

  • Architect and Implement
    end-to-end data solutions on AWS using services such as
    S3, Glue, EMR, Kinesis, DynamoDB, and Redshift/Snowflake
    .
  • Lead the design
    of the data lake and data warehouse, ensuring data governance, quality, security, and compliance are maintained.
  • Develop and optimise robust ETL/ELT data pipelines
    using expert-level
    Python
    or Scala programming.
  • Champion DevOps practises
    for data, including automated testing, CI/CD, and
    Infrastructure as Code (IaC)
    using
    Terraform
    or CloudFormation.
  • Analyse
    complex data requirements and provide strategic guidance on data modelling, schema
    optimisation
    , and query performance tuning.
  • Mentor and guide
    junior data engineers on technical design, coding standards, and cloud engineering best
    practises
    .
  • Proactively troubleshoot
    and resolve complex data platform issues, ensuring high availability and reliability of critical data assets.

What You'll Bring

  • 6+ years of progressive professional experience in Data Engineering, with at least 2 years operating in a senior or lead capacity.
  • Expert-level, hands-on experience with the AWS data ecosystem
    (S3, Glue, EMR, Kinesis/Kafka, Redshift) is mandatory.
  • Expert-level proficiency in
    Python
    or Scala for data processing and pipeline development.
  • Advanced proficiency in SQL, dimensional modelling, and data warehousing concepts.
  • Proven experience implementing
    Infrastructure as Code (IaC)
    using Terraform or CloudFormation.
  • Experience with real-time data streaming technologies (e.g., Kafka, AWS Kinesis).
  • Strong understanding of data governance, security principles, and cost
    optimisation
    within cloud data platforms.
  • Exceptional communication and leadership skills, with the ability to drive technical decisions across teams.

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