DataOps Engineer

We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics.

Requirements

• Very strong SQL skills with extensive experience in ETL/ELT and Data modelling.
• Strong experience working in DataOps in a large data warehouse environment and experience in automating data warehouse processes.
• Sound knowledge and experience in CI/CD while maintaining a data pipeline.
• Software Development and scripting experience (preferably with Python(PySpark), or similar).
• Automated data quality checks, error handling processes and alerts.
• Data Lake & EDW methodologies; Data analysis, data modelling, data integration, data warehousing and database design(data vault); Azure Stack.
• Instincts for identifying, documenting and mitigating risks.
• Excellent documentation skills and communication skills.
• Passionate about data, showing a commitment to keeping on top of current industry trends, new and emerging technologies, and the ability to think outside the box.
• Experience troubleshooting and deploying Azure resources (or other major clouds like AWS/GCP) using Infrastructure as Code (IaC), scripting languages, and Azure DevOps for automated configuration.
• Proven track record managing complex data ecosystems, including Databricks (Unity Catalog), dbt, and Git, alongside seamless integration of D365, APIs, and Fivetran within the Azure environment.

Benefits

• Competitive salary
• Paid Time Off
• 401k Matching

Tagged as: Data Analysis, Python, SQL