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Data engineer-aws

Sydney
Kaizen Global Technologies
Posted: 25 June
Offer description

We are seeking a skilled and proactive Data Engineer with hands-on experience in Python, PySpark, and AWS Glue or DynamoDB for one of our clients based in Sydney. The ideal candidate will be responsible for building, optimizing, and managing data pipelines and workflows for a scalable cloud-based data platform.

Key Responsibilities:

* Design and develop ETL/ELT data pipelines using PySpark and Python.
* Work with AWS Glue or DynamoDB to ingest, process, and manage structured and semi-structured data.
* Collaborate with data analysts, scientists, and engineering teams to deliver reliable, high-performance data solutions.
* Implement data quality checks, validation rules, and logging mechanisms.
* Monitor pipeline performance, troubleshoot failures, and ensure SLAs are met.
* Document pipeline processes and provide technical knowledge sharing across teams.

Required Skills & Experience:

* 3+ years of experience in a data engineering or related role.
* Strong proficiency in Python for data transformation and scripting.
* Solid hands-on experience with PySpark for big data processing.
* Experience with AWS Glue or DynamoDB for cloud-native data handling.
* Understanding of data formats such as JSON, Parquet, CSV, and Avro.
* Familiarity with AWS services like S3, Lambda, IAM, CloudWatch, or Athena.
* Experience with version control (e.g., Git) and CI/CD pipelines.


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Full-time


Job function

* Job function

Information Technology
* Industries

IT Services and IT Consulting

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