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Popular mid-level data role, metro Bangalore location, and notable employer increase competition.
Core data engineering skills (SQL, PySpark, pipelines) are highly transferable across industries.
Explicit 6+ years requirement plus mandatory SQL, Python, PySpark, cloud, and DataOps skills increases strictness.
Design, build, and operate scalable batch and streaming data pipelines, orchestration workflows, and analytical data products supporting AI-enabled decision-making.
Develop well-modelled, governed datasets enabling self-service analytics, visualization, and AI/ML use cases across the enterprise.
Collaborate cross-functionally to translate business requirements into production-ready data & AI solutions ensuring operational excellence in performance, quality, and security.
Minimum 6+ years experience in data engineering, analytics engineering, or data platform delivery.
Proficient in SQL, Python, and PySpark with experience in designing and operating ETL/ELT pipelines and orchestration workflows.
Bachelor’s or Master’s degree in Computer Science or related science/engineering discipline.
Experience with cloud data platforms, distributed data processing, data modelling, and BI/analytics consumption patterns.
Experienced in delivering scalable data pipelines and reliable data products supporting BI, AI/ML, and advanced analytics.
Capable of moving between rapid prototyping and production-grade engineering based on business needs with strong problem-solving skills.
Strong cross-team collaborator with ownership mindset, familiar with cloud data ecosystems, orchestration tools, and AI/ML engineering practices.