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Tier-1 employer, metro Bangalore location, and a generalist Data Engineer profile increase applicant competition.
Core data engineering skills transfer across industries, though Adobe product and GenAI specifics slightly increase specificity.
Requires specific data platform skills and a 1+ year minimum, but flexible on deep specialization.
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Design, build, and maintain data pipelines on Azure Databricks using Apache Spark and Python for batch and real-time workloads.
Develop and optimize analytics-ready data models and SQL for dashboards and reporting, ensuring performance, reliability, and cost efficiency.
Collaborate with cross-functional teams and implement data quality checks, monitoring, and integration of structured and unstructured data including ML/LLM capabilities.
Based in Bangalore, India.
Bachelor's degree or equivalent experience in computer science.
Minimum 1+ years of software development experience required.
Hands-on experience in Python, working knowledge of Node.js, REST APIs, and exposure to data platforms like Databricks, Spark, Kafka or similar; foundational data modeling and data warehousing understanding.
Operates at the intersection of data engineering and analytics with experience optimizing Spark workloads and managing Delta Lake tables.
Comfortable working in a startup-like environment within a large company, collaborating across product management, data science, engineering, and user research.
Shows capability to integrate AI/ML and LLM technologies into data solutions, with skills in cloud services (AWS/Azure) and containerization technologies (Docker, Kubernetes).