Cloud-Driven Backend Engineer | AWS Data & Analytics

Zensys

Sydney

Hybrid

AUD 120,000 - 180,000

Full time

14 days+

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Job summary

Zensys is seeking a data engineering professional to design and implement scalable data pipelines in the AWS cloud. The role involves building batch and streaming ETL using Python, PySpark, Airflow MWAA, and AWS data services to support analytics and data warehousing on Redshift.

You will also ensure secure data access via Secrets Manager and KMS, manage data lakes on S3, and collaborate with cross-functional teams to deliver reliable data solutions.

Qualifications

  • Proficient in Python with Pandas, PySpark and boto3 for data processing.
  • Hands-on design of workflows in Apache Airflow (MWAA).
  • Experience with Amazon Redshift for analytics and data warehousing.
  • Strong SQL skills and data modeling/transformations.
  • Experience with Amazon S3 and data lake architectures.
  • Familiarity with AWS core services: EC2, S3, IAM, Lambda.
  • Experience using AWS Secrets Manager and AWS KMS for secure access.
  • Understanding of batch (Glue, EMR) and streaming (Kinesis) processing.
  • Version control with Git.

Skills

SQL
Data Modeling
Batch Processing
Streaming
Communication

Tools

Python
Pandas
PySpark
boto3
Airflow (MWAA)
Amazon Redshift
SQL
Amazon S3
AWS (EC2, IAM, Lambda)
AWS Secrets Manager
AWS KMS
AWS Glue
AWS EMR
Kinesis
Git

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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