Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro location, popular data engineer title, and recognizable multinational brand produce medium competition.
Core data engineering skills are transferable, but Azure/Databricks emphasis creates moderate industry specialization.
Mandatory Azure, Databricks, Python and SQL stack increases technical filtering despite no explicit years requirement.
Architect and provision Azure infrastructures focused on data analytics platforms for customer cloud workloads.
Deploy and maintain Azure DevOps for platform delivery and production support, acting as a technical escalation point.
Collaborate on internal process improvements and mentor the Managed Service team to retain and transfer technical knowledge.
Hands-on experience with Azure Cloud and services such as Azure Data Factory, Azure Data Lake, Power BI, SQL Server, Databricks.
Proficiency in SQL querying and programming experience with Python or Pyspark.
Familiarity with Microsoft Azure Cloud Adoption Framework, Azure Landing Zones, Hub/Spoke Networks, ARM Templates, and Azure DevOps including Pipelines and Repos.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise-level cloud and infrastructure practices with application delivery focus.
Capable of identifying opportunities and solving problems with attention to detail and continuous improvement mindset.
Comfortable in a customer-facing, collaborative environment requiring mentoring and influencing architectural supportability.