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Tier-1 brand, mid-level data role, metro Bangalore, and popular 5+yrs profile increase competition.
Core cloud data engineering skills are transferable, but Azure Databricks specificity makes fit moderately sensitive.
Explicit 5+ years plus mandatory Azure Databricks, Delta, PySpark and SQL raise strictness to high.
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Design, build, and maintain scalable batch and real-time data pipelines using Medallion Architecture on Microsoft Azure.
Onboard multiple complex data sources into Azure Cloud, create optimized aggregate tables and data models for reporting and analytics.
Collaborate with data scientists and cross-functional teams to support advanced analytics and machine learning use cases, while monitoring and optimizing pipeline performance and cost.
Minimum 5 years of professional experience in data warehousing, ETL/ELT design, and enterprise data pipelines.
Strong expertise in Microsoft Azure including Azure Databricks and Delta Tables.
Advanced programming skills in Python and PySpark, expert-level SQL with knowledge of data warehousing and data modeling concepts.
Work Experience Required: 5+ years. Notice Period: Not explicitly mentioned in the JD.
Experienced in designing and tuning high-performance data tables and views independently within cloud data architectures.
Proficient with Microsoft Azure ecosystem and modern big data technologies relevant for scalable, cost-efficient data engineering.
Comfortable working in a collaborative agile environment with cross-functional teams including data scientists and analysts, preferably with exposure to automotive data domains.