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Tier-1 employer, metro Bangalore, popular mid-level Data Engineer role with broad skill requirements increases competition.
Core data engineering skills transfer across industries, though preferred marketing domain knowledge increases specificity.
Mandatory 5+ years plus required Snowflake, dbt, SQL, Python, PySpark, and AWS enforces high strictness.
Build and maintain scalable and secure data pipelines and infrastructure using SQL, dbt, AWS big data technologies, and Snowflake to support analytics, ML, Generative AI, and LLM applications.
Lead initiatives for data ingestion, data wrangling, and creating a comprehensive data catalog while improving data reliability and process automation.
Design and implement production-grade Agentic AI data services, APIs, and semantic models to enable AI agents to securely access and act on enterprise data.
5+ years experience as a Data Engineer including 5+ years hands-on experience with Snowflake and dbt, advanced SQL skills, and experience with Python and big data tools like PySpark.
Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.
Experience with AWS cloud data engineering services (S3, EC2, Glue, Lambda, RDS, Redshift) and working with APIs for data integration.
Experience optimizing large-scale data pipelines and architectures and performing root cause analysis on data and processes.
Experienced in building data platforms that support advanced analytics and AI technologies including ML, Generative AI, and LLM-based applications.
Proven ability to work on scalable, secure, and governed data solutions involving multiple data types, including structured and unstructured data.
Comfortable working in hybrid mode in Bengaluru and collaborating with globally distributed agile teams, ideally with exposure to marketing domain knowledge.