Mumbai, Maharashtra, India
Information Technology
Full-Time
Intuit
Overview
Overview
Come join the BI team at Intuit India as we build the next generation of data infrastructure powering mission-critical analytics and insights for our enterprise and mid-market customers. Our BI platform processes 2 billion records daily, supports over 240TB of data, and serves 200+ million reporting requests through a complex landscape of 20+ data pipelines.We are looking for a Principal Data Engineer who thrives on solving low latency, high-throughput data processing challenges at scale and can lead architectural evolution across a high-impact platform.
What you'll bring
Come join the BI team at Intuit India as we build the next generation of data infrastructure powering mission-critical analytics and insights for our enterprise and mid-market customers. Our BI platform processes 2 billion records daily, supports over 240TB of data, and serves 200+ million reporting requests through a complex landscape of 20+ data pipelines.We are looking for a Principal Data Engineer who thrives on solving low latency, high-throughput data processing challenges at scale and can lead architectural evolution across a high-impact platform.
What you'll bring
- 15+ years of experience in data engineering, with deep expertise in building and scaling distributed data systems.
- Strong hands-on experience in stream processing technologies (e.g., Apache Flink, Spark Streaming, Kafka Streams).
- Deep understanding of data formats such as Parquet, Delta Lake, Iceberg, and performance tuning across large datasets.
- Demonstrated experience solving challenges in throughput, query latency, and SLA adherence across large-scale BI platforms.
- Proven ability to design for observability: metrics, alerting, and root cause analysis.
- Sound architectural instincts—able to assess tradeoffs and design for long-term maintainability.
- Strong mentoring and technical leadership skills with the ability to influence across org boundaries.
- Exceptional collaboration and communication skills across time zones and technical functions.
- Comfortable working in high-ownership, high-autonomy environments with evolving priorities.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent field.
- Design and implement high-performance, low-latency data processing pipelines to power analytics and reporting at petabyte scale.
- Lead platform-wide technical initiatives to improve latency, scalability, reliability, and throughput of our BI infrastructure.
- Provide technical leadership across multiple interdependent teams and influence architectural decisions for both batch and stream processing workloads.
- Partner closely with PMs, Analysts, and Data Scientists to ensure platform SLAs align with evolving business goals.
- Identify and drive system-wide optimizations—introducing durable, observable, and cost-effective patterns across ingestion, transformation, and consumption layers.
- Develop internal tools to automate operations, enhance observability, and maintain system health at scale.
- Champion engineering and operational excellence by enforcing best practices in data modeling, testing, and CI/CD.
- Shape future data product strategy by contributing to the evolution of Intuit's enterprise data architecture.
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