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Metro location, broad skillset, and common data-manager title drive high competition.
Requires domain-specific streaming and data-warehouse expertise but transferable across industries.
Explicit 7+ years and mandatory streaming, warehouse, and orchestration skills make filters strict.
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Lead and grow a hybrid team of Data Engineers and Data Analysts with hands-on mentorship and people management.
Define and drive technical data strategy and architecture ensuring scalable, reliable data platforms optimized for production and analytical workflows.
Own delivery of data infrastructure and analytics projects with agile execution, balancing technical debt and business priorities, while providing hands-on technical support as needed.
7+ years total experience with 5–7 years as hands-on Data Engineer building data pipelines, ETL/ELT, and managing data warehouses (e.g., Snowflake, BigQuery, Redshift).
1–3 years experience in a technical leadership role such as Technical Lead, Scrum Master, or Staff Engineer.
Proficiency with Apache Kafka, Apache Flink, Python, advanced SQL, data orchestration tools (Airflow, Prefect), and data modeling frameworks (dbt).
Location: Bengaluru; Full-time role; Seniority: Mid-Senior level.
Experienced technical leader with a strong individual contributor background in Data Engineering and proven mentorship capability.
Comfortable bridging engineering and analytics teams with a deep understanding of data analyst pain points and business intelligence workflows.
Ability to align technical data infrastructure with business intelligence needs, driving scalable data solutions in a fast-paced environment.