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Metro location, popular data-engineer role, strong global employer, and broad cloud/Snowflake requirements increase competition.
Core data engineering skills transfer across industries, but manufacturing/MES and diagnostics domain knowledge increases specificity.
Explicit 7+ years and mandatory Snowflake/cloud/Python skills make shortlisting strict.
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Design, develop, and optimize advanced ETL/ELT data pipelines using Snowflake and GitHub for version control.
Lead and deliver significant data engineering projects, including integration with enterprise systems like Oracle ERP and manufacturing data sources.
Provide technical mentorship to junior engineers and collaborate with cross-functional teams within the Data & AI Center of Excellence to ensure data quality, availability, and performance.
Bachelor's degree with 7+ years or Master's degree with 5+ years professional experience in Computer Science, IT, Engineering, or related field.
Expert proficiency in data warehousing concepts with deep hands-on experience using Snowflake for ELT/ETL processes.
Strong programming skills in at least one modern language such as Python, Java, or Scala, plus extensive experience with SQL/NoSQL databases and major cloud platforms (AWS, Azure, or GCP).
Experience with version control (e.g., GitHub) and project management tools (e.g., Jira); role is on-site in Bangalore.
Experienced in leading large-scale data engineering projects involving complex data integrations, especially with Oracle ERP and manufacturing execution systems.
Skilled in advanced data pipeline performance optimization, including Snowflake query tuning and cloud data architecture scalability.
Capable of mentoring engineers and working cross-functionally within a Center of Excellence focused on data-driven decision making and digital transformation.