Back
Tier-1 brand, common data-engineer title, mid-level experience, and metro location increase applicant competition.
Core data engineering skills are transferable across industries, though Azure and consulting experience slightly bias fit.
Explicit 4–7 years requirement and mandatory Azure Databricks/ADF/Synapse and Python/SQL create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable data pipelines and ETL workflows on Azure cloud platforms including Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
Administer and lead cloud migration projects for Azure environments focusing on infrastructure management, security, monitoring, and cost optimization.
Develop and maintain CI/CD pipelines and automation scripts using Azure DevOps, Docker, Python, and PowerShell to ensure reliable deployment and operational continuity.
4 to 7 years of relevant work experience in Azure data engineering or related fields.
Bachelor's degree in Engineering (BTech/BE), Master of Business Administration (MBA), or Master of Computer Applications (MCA).
Proficiency with Azure Databricks, Azure Data Factory, Synapse Analytics, Python scripting, and advanced SQL query optimization.
Experience with data warehousing concepts (star/snowflake schemas) and Azure Data Lake Storage.
Experienced in cloud-based data engineering roles with hands-on expertise in Azure ecosystem and scalable data solutions.
Able to lead cloud migrations and implement infrastructure-as-code practices for automation and continuous deployment.
Strong technical background in building and managing CI/CD workflows and source control integration using Azure DevOps and GitLab.