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Senior Data Engineer
3 weeks ago
We are seeking an experienced Data Pipeline Automation Specialist to join our team. The ideal candidate will have expertise in designing, implementing, and maintaining data pipelines that ensure efficient, scalable, and reliable data workflows.
The successful candidate will be responsible for automating infrastructure management and data workflow orchestration, ensuring observability, performance, and security in cloud data environments, and driving best practices for data governance and cost optimization.
RequirementsTo be successful in this role, you will need:
- 3+ years of experience in DevOps, Data Engineering, or Cloud Infrastructure roles.
- Experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps etc.)
- Proficiency in orchestration tools (Apache Airflow, Prefect, Dagster, AWS Step Functions etc.).
- Strong understanding of ETL/ELT pipelines, workflow scheduling, and automation.
- Hands-on experience with cloud data platforms (AWS, Azure, GCP).
- Proficiency in Terraform for infrastructure-as-code (IaC).
- Experience with observability tools (Datadog, Prometheus, Grafana, CloudWatch, Splunk etc.).
- Strong troubleshooting skills for data pipeline failures, latency, and performance optimization.
- Proficiency in Python, Bash, or PowerShell for automation and scripting.
- Experience with SQL and NoSQL databases (PostgreSQL, Snowflake, BigQuery, DynamoDB, etc.).
As a Data Pipeline Automation Specialist, you will enjoy:
- A competitive salary plus generous commission scheme.
- The opportunity to work with a well-known brand.
- Work with a team of highly energized professionals.
- Three recharge days per year, in addition to annual leave.
- Free coffee daily, a funky café, and a state-of-the-art workspace.
- An impressive Employee Benefits Program.
Our company is a leading provider of insurance solutions, dedicated to simplifying the process of making sound financial decisions. We are passionate about making Australians' lives easier by saving them time, money, and effort.
