IN_Senior Associate_Azure Data Engineering _GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, Bangalore metro, mid-level Azure data engineer title with broad skillset creates high competition.
Azure Databricks and cloud-specific data engineering requirements moderate cross-industry transferability.
Mandatory 6+ years plus required Azure, Databricks, Python, and SQL skills make filtering highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable and secure data pipelines on Azure cloud platform using Databricks and Data Factory.
Develop reusable Python code for cloud automation, data processing, and orchestration; integrate data sources and cloud storage solutions such as Azure Data Lake and Blob Storage.
Lead code reviews, troubleshoot ETL performance bottlenecks, and contribute to enterprise data warehousing and BI integrations.
Minimum Requirements
6+ years of overall experience in cloud or data engineering roles, with 2-3 years hands-on Azure cloud services experience.
Strong Python programming skills and advanced SQL proficiency mandatory.
Hands-on experience with Azure Databricks required.
Bachelor's degree (BE/B.Tech) or equivalent; MBA/MCA also mentioned.
Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in architecting and implementing scalable ETL workflows and cloud-native data solutions on Azure.
Strong background in Python development combined with deep knowledge of Azure data services and version control (Git).
Capable of optimizing data models and integrating BI use cases within cloud environments with a focus on performance and scalability.