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Cloud-Driven Backend Engineer AWS Data & Analytics

ZensysSydney, New South Wales🇦🇺Australia

Why this role stands out

This hybrid role offers exciting opportunities to build scalable data pipelines on AWS, honing your skills in Python, PySpark, and cloud data services. You'll thrive here if you're a mid-senior engineer passionate about data engineering and eager to contribute to innovative analytics solutions within a collaborative team environment. Apply now to join Zensys and drive impactful data initiatives!

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, New South Wales, Australia
SQLGitApache SparkAWSAirflowApachePandasPythonRedshiftIAM

Job description

  • Advanced proficiency in Python, including libraries such as Pandas, PySpark, and boto3
  • Experience designing workflows in Apache Airflow (MWAA)
  • Hands-on experience with Amazon Redshift for analytics and data warehousing
  • Solid SQL skills and experience with data modeling and transformation
  • Comfortable with Amazon S3, including setting up data lake architecture
  • Familiar with AWS core services: EC2, S3, IAM, Lambda
  • Experience using AWS Secrets Manager and AWS KMS for secure data access
  • Strong understanding of batch processing (AWS Glue, EMR) and streaming (Kinesis)
  • Version control using Git
  • Excellent problem-solving and communication skills

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