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Strong brand, metro location, generalist senior data role, and broad skillset requirements increase applicant density.
Data engineering skills are transferable but enterprise ETL/Power Platform add moderate domain specificity.
Explicit 10-14 years, specific data engineering tools and in-office shift make filters highly strict.
Design, develop, and maintain scalable data pipelines and enterprise data platforms to support analytics and AI/ML initiatives.
Lead technical design and architecture for data ingestion, transformation, reporting, automation, and cloud solutions ensuring scalability, security, and performance.
Provide technical leadership and mentorship to engineering teams, driving problem resolution, innovation, and delivery of high-quality data products.
Bachelor’s degree in Computer Science, IT, Data Science, or related field.
10-14 years of experience in data engineering, data analysis, or software development.
Strong expertise in advanced SQL and database technologies (Oracle, Teradata, Snowflake) and hands-on experience with ETL tools (Datastage, Informatica, Snaplogic).
Must be willing to work a 5-day week schedule in the office (Bangalore) with shift timing 01:00-10:00PM IST.
Proven ability to independently design and deliver complex enterprise-scale data engineering and analytics solutions in cloud environments (AWS/Azure).
Experience leading technical teams with strong problem-solving, debugging, and root cause analysis capabilities in data platforms and business intelligence reporting.
Hands-on skills across data integration, Power BI development, Power Automate workflows, and modern data architectures aligning with business and governance standards.