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Tier-1 brand, mid-level generalist data-engineer title, metro location, and broad skillset increase applicant competition.
Core skills (Python, SQL, Spark, cloud, data modeling) are broadly transferable across industries, so sensitivity is low.
Explicit 5+ years requirement plus mandatory data engineering, cloud, and pipeline skills make shortlisting moderately strict.
Lead the technical design and implementation of Business Excellence data products, ensuring alignment with architecture and governance standards.
Drive stakeholder engagement across business and technical teams to analyze requirements, assess feasibility, and resolve complex data issues.
Establish and promote reusable engineering patterns, mentor data engineering teams, and oversee delivery execution including sprint planning and KPI tracking.
Bachelor’s or master’s degree in Computer Science, Engineering, IT, Data Science, or related field.
Minimum 5 years of experience in Data Engineering, Data Platforms, or Data Architecture.
Proven expertise in enterprise-scale data product design, data modeling, integration, and pipeline development.
Role location: Pune; Work setup: hybrid working opportunities.
Experienced in cloud platforms such as AWS, Azure, or GCP and proficient with Python, SQL, Spark, or similar data engineering tools.
Skilled in translating complex business requirements into scalable, governed data solutions within Agile environments.
Demonstrated ability to lead technical discussions, influence engineering best practices, and mentor engineering teams.