Platform Engineer

2 weeks ago

Sydney, New South Wales, Australia Synechron Full time US$150,000 - US$200,000 per year
  • Initial 6 months contract
  • $ including Super
  • 3 Days onsite

We Are

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

About the Role

This role is ideal for someone who excels in data engineering and also brings strong core development capabilities, particularly building scalable integrations and backend services.

Responsibilities

  • Design and develop next-generation data platforms and pipeline solutions.
  • Build and maintain backend services and integrations using Java Spring Boot, ensuring performance, scalability, and security.
  • Collaborate with engineering peers to co-create and contribute to shared practices and frameworks.
  • Transform and process source data into data products and enable egression to other platforms.
  • Develop efficient Data Lake frameworks using Scala, PySpark, or Python, with robust data quality and security controls.
  • Ensure compliance with data governance and security standards using tools like AWS DataZone, Lake Formation, and IAM.

Qualifications

  • Core Engineering
  • Strong experience in Java, Spring Boot, and RESTful API development.
  • Familiarity with CI/CD tools such as GitHub, GitHub Actions, TeamCity, and automated deployment pipelines.
  • Experience with observability tools like Observe, Splunk, Prometheus, or Grafana.
  • Exposure to AI/ML technologies, with the ability to integrate or leverage AI models to enhance data processing, automation, or system intelligence.

Required Skills

  • Proficiency in Python, SQL, Spark, and Scala for distributed data processing.
  • Hands-on experience with AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR.
  • Exposure to AWS Marketplace, API Gateway, and data monetisation strategies.
  • Performance tuning of ETL jobs and query optimisation for cost efficiency.

Equal Opportunity Statement

Synechron is committed to diversity and inclusivity in the workplace.

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