IN_Senior Associate_Azure Data Engineering _GCC_Advisory_Bangalore
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Data-driven signals on your job's competitivenessTier-1 brand, Bangalore metro, and a common mid-level Data Engineer skillset increase applicant competition.
Data engineering skills (Python, SQL, ETL, cloud) are highly transferable across industries.
Mandatory 6+ years plus required Azure Databricks, Python, SQL, and Spark skills increase filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and manage scalable, secure data pipelines using Azure Databricks and Azure Data Factory on Azure cloud platform.
Write and optimize Python code for cloud automation, data processing, and orchestration supporting ETL workflows and BI use cases.
Lead data modeling, implementation of data warehousing solutions, code reviews, and troubleshoot performance bottlenecks in Azure cloud environment.
Minimum Requirements
6+ years overall experience in cloud or data engineering including 2-3 years hands-on with Azure cloud services and Python development.
Strong skills in Python programming, advanced SQL, Azure Databricks, Azure Data Factory, and Azure storage solutions (Blob Storage/Data Lake).
Experience with Apache Spark, data modeling (normalization/denormalization), data warehousing, and Git version control.
Required education: BE/B.Tech/MBA/MCA (Master of Business Administration explicitly mentioned).
Ideal Candidate Profile
Experienced in architecting and optimizing enterprise data pipelines and warehousing on Azure cloud with a strong coding background in Python and SQL.
Demonstrates expertise in managing cloud-native data solutions integrating structured and unstructured data sources within Agile delivery environments.
Capable of leading code reviews and adopting best practices on cloud data engineering, with knowledge of advanced analytics and BI integration within Azure ecosystem.