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Tier-1 brand, metro location, mid-level generalist data role with broad required skills increases competition.
Core data engineering skills transfer across industries, but MES/ERP and life-sciences experience increase specificity.
Explicit 7+ years and mandatory Snowflake, cloud, and enterprise integration requirements make shortlisting highly restrictive.
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Design, develop, and optimize advanced ETL/ELT data pipelines primarily using Snowflake and GitHub for version control.
Lead key data engineering projects or workstreams from conception to deployment, collaborating with cross-functional teams and using Jira for project management.
Provide technical mentorship to junior engineers and work closely with data scientists, analysts, and business stakeholders to ensure data quality, availability, and security.
Bachelor's degree with 7+ years or Master's degree with 5+ years of professional experience in Computer Science, IT, Engineering, or related field.
Expert proficiency in data warehousing concepts and hands-on experience with Snowflake for ELT/ETL processes.
Strong programming skills in at least one of Python, Java, or Scala.
Experience with database management systems (SQL/NoSQL), cloud platforms (AWS, Azure, or GCP), version control (GitHub), and project management tools (Jira).
On-site role based in Bangalore.
Experienced in integrating data from enterprise systems like Oracle ERP and understanding manufacturing data (MES projects).
Familiar with advanced data processing technologies including real-time streaming (e.g., Apache Kafka) and container orchestration (e.g., Docker, Kubernetes).
Comfortable leading large-scale data migration and data orchestration projects within a Data & AI Center of Excellence environment.