Back
Tier-1 brand, metro location, mid-level generalist data role with broad Azure/Databricks requirements increases competition.
Azure Databricks and cloud-focused data engineering require specialization, moderately limiting cross-industry transferability.
Multiple mandatory technical skills and an explicit 6+ years requirement make shortlisting highly selective.
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 and secure data pipelines using Azure Databricks and Azure Data Factory.
Write advanced Python code for cloud automation, data processing, and orchestration within the Azure cloud platform.
Architect and implement cloud-based data solutions integrating diverse data sources and support enterprise-level data warehousing and BI use cases.
6+ years of overall experience in cloud or data engineering roles with at least 2-3 years of hands-on Azure cloud services experience.
Strong Python programming skills (advanced scripting, automation, cloud SDK) mandatory.
Proficient in SQL and hands-on experience with Azure Databricks required.
Education: BE/B.Tech/MBA/MCA mandatory; Master of Business Administration preferred.
Experienced data engineer skilled in Azure cloud-native tools, specifically Databricks, Data Factory, and Azure storage solutions.
Capable of building and optimizing complex, scalable ETL workflows and cloud-based data architectures.
Practiced in version control with Git and able to lead code reviews, indicating seniority and operational ownership.