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Billigence

AWS Data Engineer

Posted 20 Days Ago
Be an Early Applicant
In-Office
Sydney, New South Wales
Mid level
In-Office
Sydney, New South Wales
Mid level
As an AWS Data Engineer, you will develop and maintain data ingestion and transformation applications and cloud infrastructure using AWS technologies.
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About us

Billigence Pty Ltd is a specialist in the delivery of market-leading Business Intelligence and CRM solutions. Headquartered in Sydney, Australia and with offices in Prague, London, Frankfurt and Singapore our passion is data and our focus is the delivery of end-to-end solutions via a talented team of skilled professionals.

We are partners with leading edge software platforms including Tableau, Alteryx, Collibra, Snowflake, GCP and Salesforce.

We have an open role for an Mid-Senior AWS Data Engineer based in Sydney that we’re looking to fill for a 6 month contract.

What role will you play?

As a Data Engineer, you'll become part of our vibrant Engineering team, creating innovative data product solutions. Your responsibilities will involve developing and maintaining applications such as data ingestion and transformation pipelines, cloud infrastructure, APIs, query engines, and orchestration platforms, all utilising the AWS technology stack.

Essential

  • Experience in one or more of the following Amazon Data Services (Redshift, Glue, RDS, EMR).
  • Data Architecture experience including different data modelling techniques.
  • Commercial experience in at least one programming language, such as Python, Java, or Scala.
  • Practical experience using GIT and at least one CI/CD tool (Bamboo, CloudBees, or TeamCity, Gitlab etc) for development or Infrastructure as Code.

Valuable Additional skills

  • Amazon Data Engineer or Machine Learning Engineer certification?
  • Proficient in Spark SQL, with proven ability in tuning and optimisation.
  • Proven hands-on experience in developing and supporting ETL frameworks and tooling.
  • Experience with Big Data technologies, focusing on Spark, DBT, Presto (or other query engines), big data storage formats such as Parquet, ORC, Avro, and data pipeline orchestration tools like Airflow.
  • Experience using of EKS and Docker.

If this sounds like something you are interested in, please apply with your most up-to-date CV and we will be in touch!

Please note: Only successful applicants will be contacted.

Top Skills

Airflow
AWS
Ci/Cd
Docker
Emr
ETL
Git
Glue
Java
Python
Rds
Redshift
Scala
Spark Sql

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