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Senior, niche Big Data/Databricks role reduces applicant density despite Bangalore metro location.
Core data engineering skills transfer across industries, but retail domain and Azure/Databricks specificity increase sensitivity.
Multiple explicit years requirements and mandatory Big Data, Databricks, Spark, and SQL expertise.
Designs, develops, tests, deploys, monitors, and supports a software platform or application within a squad with high autonomy.
Leads adoption of best practices, frameworks, architectural decisions, and ensures quality, security, performance, and maintainability of software solutions.
Mentors squad members, manages technical backlog including performance and tech debt, coordinates with product managers and architects, and drives continuous improvement and operational support including monitoring and troubleshooting.
Bachelor's degree or equivalent experience.
8+ years of professional experience including 5+ years designing Big Data systems in Cloud environments.
Expertise in SQL, query optimization, Apache Spark with Python (3+ years), and experience with data platform technologies (e.g., Data Factory, Databricks, Data Lake, Data Warehouse, SQLDB).
Experience with Enterprise CI/CD processes and Azure stack (Logic and Function apps) preferred; work experience required explicitly: 8+ years.
Strong background in Big Data and Cloud-based data platform development with deep technical expertise in Apache Spark, SQL, and data platform tools.
Experience leading technical decisions, mentoring engineers, and collaborating closely with product and architecture teams within an agile squad.
Proficient in driving automation, operational monitoring, troubleshooting, and continuous improvement within software delivery lifecycle in enterprise environments.