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Metro location and broad data platform skillset increase competition, but seniority narrows applicant pool.
High domain bias; specialized data architecture and ETL skills limit cross-industry transferability.
Explicit 10–12 years plus mandatory cloud, ETL and data-stack skills make filters highly strict.
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Own architecture and design of tool/product components based on detailed requirements, covering modelling, design, development, system testing, and production support.
Provide technical leadership and technology direction for development teams, ensuring solutions meet quality, scalability, availability, and maintainability standards.
Drive architecture for data management strategies including SQL, NoSQL, cloud technologies, and BI analytics platforms with hands-on implementations.
10-12 years of experience with a graduate/postgraduate degree in Computer Science or equivalent from a premier institute (preferably IIT/NIT).
Experience in data modelling, database design using cloud, and data warehousing methodologies (star schemas, snowflake).
Proficiency with ETL tools (Talend/AWS Glue/Informatica/SSIS), cloud technologies (Redshift, Athena, Azure Data Lake, Azure Data Factory), and BI reporting tools (Power BI, Tableau, SSRS).
Strong skills in SQL/NoSQL databases, scripting languages (Python, Scala, PowerShell), and software development best practices.
Experienced architect with strong domain expertise in cloud data platforms, ETL, and BI analytics capable of leading multiple development teams.
Hands-on technical leader who drives architecture direction through implementations and integrates diverse technology stacks.
Proficient in aligning technical architecture with business goals, designing scalable, maintainable, and high-performance data solutions.