
Azure Data Platform Engineer Mid Level
2 weeks ago
Design and develop data pipelines using Azure Data Factory, Synapse, Databricks
Use Azure Storage (Blob, Data Lake Gen2) for managing data outputs
Collaborate with analysts, scientists, and architects to meet data requirements
Ensure performance, scalability, and cost-efficiency in data workflows
Validate and troubleshoot data issues
Maintain CI/CD deployments via Azure DevOps
Document configurations and follow best practices
Requirements:
Bachelor's in Computer Science, Engineering, or related field
2–3 years' experience in data engineering or ETL development
Proficiency in Azure (ADF, Databricks, Synapse, Blob Storage)
Strong SQL skills (SQL Server, PostgreSQL)
Understanding of software engineering (CI/CD, Git, testing)
Familiarity with Spark and PySpark
Preferred:
Strong Python skills (Scala, Java, or C# also accepted)
Experience with file formats: Parquet, Delta, Avro
Familiar with querying APIs, using Ansible, Azure DevOps Pipelines
Understanding of Azure infrastructure and Git workflows
Learning agility and ability to lead technical initiatives
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