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Data Engineer with using Apache Spark, Python, Scala.

Tech AaltoMelbourne, Victoria🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationMelbourne, Victoria, Australia
DockerSQLScalaAWSETLApacheApache SparkBDDCucumberJUnitKafkaKubernetesPythonpytest

Job description

Data Engineer with using Apache Spark, Python, Scala.
Location: Melbourne
Position Type: Contract
Data Engineer
As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines. You will work closely with cross-functional teams to understand business requirements, optimize data workflows, and ensure the reliability and performance of our data systems.
Key Responsibilities:
  • Design, build, and optimize data processing pipelines using Apache Spark, Python, Scala.
  • Develop and maintain data ingestion and extraction processes, including streaming data pipelines using Kafka and batch processing workflows.
  • Implement performance tuning techniques to optimize data processing and query performance, ensuring scalability and efficiency.
  • Collaborate with DevOps teams to deploy and manage data infrastructure on NetApp S3 (very similar to AWS S3), Kubernetes.
  • Containerize data applications using Docker and orchestrate deployment using Kubernetes for scalability and reliability.
  • Develop and maintain unit tests using frameworks like pytest, junit, to ensure the quality and reliability of data pipelines.
  • Implement and adhere to best practices for data governance, security, and compliance.
  • Utilize Behavior-Driven Development (BDD) tools like Cucumber and Lettuce to write and execute test scenarios for dataworkflows.
  • Stay up to date with emerging technologies and industry trends and evaluate their potential impact on our data infrastructure and processes.
Requirements:
  • Proven experience in designing and building scalable data pipelines using Apache Spark, Python, and Scala.
  • Strong understanding of data warehousing concepts, ETL processes, and data modelling techniques.
  • Experience with performance tuning and optimization of Spark jobs and SQL queries.
  • Familiarity with stream processing frameworks like Kafka and messaging systems.
  • Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with unit testing frameworks like pytest, junit, and BDD tools like Cucumber and Lettuce.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website ( )
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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