Back
Metro hiring, popular data role with broad Azure skillset and multi-location visibility increases candidate competition.
Azure Databricks and enterprise data-platform experience makes fit moderately transferable but favors cloud data teams.
Explicit 10+ years requirement plus mandatory Azure, Databricks, PySpark, and CI/CD skills enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and implement large-scale data engineering solutions using Azure cloud technologies and data analytics tools.
Develop software solutions with Agile, DevOps, and product model practices for cloud and data lake environments.
Combine development, administration, and support responsibilities across multiple data platforms and scripting languages.
Minimum 10+ years of total work experience.
At least 4+ years of software solution development experience in Agile and DevOps environments.
Minimum 4+ years of experience in data analytics using SQL and cloud development on Microsoft Azure, including Azure Data Factory, Databricks, and related services.
Proficiency in scripting languages (Python, Spark) and familiarity with multiple data platforms such as Teradata, Cassandra, MongoDB, SQL Server.
Experienced in designing and managing large-scale Azure data lakes and cloud-native data engineering solutions.
Comfortable working with a combination of development, administration, and support in complex, multi-platform environments.
Skilled in using CI/CD tools like GitHub, Azure DevOps, and Terraform to enable agile and automated deployment workflows.