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Senior Principal Data Engineer//Chennai//Pune

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Summary

Senior data engineering role (6+ yrs, hybrid) in Pune or Chennai at a global cybersecurity company: architecting enterprise-scale data platforms and pipelines on Snowflake, AWS, Kafka, and Iceberg/Lakehouse with Python/SQL and dbt, while mentoring engineers and ensuring GDPR/PCI-DSS compliance.

We're Hiring | Senior Principal Data Engineer

Location: Hybrid Pune & Chennai

Experience: 6+ Years

Employment Type: Full-Time

Work Model: Hybrid

Join a global cybersecurity leader and build next-generation, enterprise-scale data platforms powering millions of users worldwide.

Key Responsibilities

  • Architect scalable, enterprise-grade data platforms and pipelines.
  • Lead cross-functional data engineering initiatives from design to production.
  • Design and optimize Snowflake, AWS, Kafka, and Lakehouse solutions.
  • Build secure, high-performance, and reliable data systems.
  • Mentor engineers, conduct code reviews, and drive technical excellence.
  • Partner with cross-functional teams to deliver business-critical analytics solutions.

Required Skills

  • Snowflake Data Warehouse & Performance Optimization
  • Python & SQL
  • AWS Cloud Services
  • Apache Kafka & Streaming Data Pipelines
  • Apache Iceberg & Lakehouse Architecture
  • DBT / SQLMesh
  • Kimball Dimensional Modeling & Star Schema
  • CI/CD, GitFlow, Data Governance
  • GDPR & PCI-DSS Compliance

Preferred Experience

  • Cybersecurity, FinTech, AdTech, or other high-volume data environments
  • Subscription analytics, customer behavior, churn, LTV, and executive reporting
  • Technical leadership, solution architecture, and mentoring engineering teams

Why Join Us?

  • Work on enterprise-scale data platforms.
  • Drive architecture and technical strategy.
  • Collaborate with highly skilled engineering teams.
  • Solve complex, real-world data challenges.
  • Opportunity to mentor and influence engineering excellence.

Apply Now: simmi@hiresquad.in

Immediate Joiners / Short Notice Candidates Preferred.

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