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Strong employer brand, common Data Engineer title, and Bengaluru metro location increase candidate competition.
Core data engineering skills transfer broadly, but supply-chain domain and specific tooling increase domain specificity moderately.
Explicit 10+ years requirement plus mandatory Snowflake, dbt, Airflow, Spark, and domain experience makes shortlisting highly strict.
Design, build, and optimize scalable data pipelines and enterprise data products to support supply chain, manufacturing, and operational decision-making.
Develop and maintain data solutions using Snowflake, dbt, Airflow, Python, SQL, ensuring data quality, reliability, and governance.
Partner with business stakeholders and analytics teams to enable trusted, self-service access to data and accelerate insight generation through scalable automation.
10+ years overall IT experience with at least 5+ years hands-on data engineering experience.
Strong expertise in SQL, Python, Snowflake, dbt, Apache Airflow, Spark/PySpark, and cloud-based data pipeline orchestration.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical field.
Experience in supporting Supply Chain, Manufacturing, Logistics, Operations, or Planning domains.
Experienced working with large-scale ETL/ELT architectures and implementing data quality, monitoring, and observability solutions in cloud environments.
Skilled in data modeling (relational and dimensional), DataOps, CI/CD, Git workflows, and software engineering best practices.
Ability to collaborate effectively with diverse stakeholders including Supply Chain, Operations, Data Science, and Analytics teams to deliver governed, self-service data platforms.