Lead Data Engineer

1 week ago

Mumbai, Maharashtra, India datavruti Full time ₹ 20,00,000 - ₹ 60,00,000 per year

Role:
Senior Data Engineer

Location:
Mumbai (Work from Office)

Experience:
 8 -12 Years

Type:
Full-time

Salary:
Up to 50 LPA (based on fitment)

About the Role

We are looking for a hands-on
Senior Data Engineer
to help design, build, and scale our client's modern data infrastructure. You will be responsible for creating the data backbone that supports underwriting, pricing, claims, and fraud analytics across the business.

This is an exciting opportunity to join a
0→1 journey
, contributing to the design and implementation of scalable, cloud-native data platforms.

Key Responsibilities

  • Develop and maintain scalable data pipelines for structured and unstructured data.
  • Design and evolve the data lake and warehouse architecture.
  • Ensure data availability, quality, and readiness for analytics, ML, and reporting.
  • Collaborate with product, analytics, and data science teams on data models.
  • Optimize systems for scale and near real-time processing.
  • Implement data governance, lineage, and security practices in compliance with IRDAI.
  • Stay updated with modern data engineering tools and frameworks.

Must Have

  • 8-12 years of experience in Data Engineering.
  • Proven expertise in
    building data platforms
    (ingestion, transformation, storage, access).
  • Strong hands-on experience with
    AWS
    (S3, EMR, Glue, Lambda, Kinesis, Redshift).
  • Proficiency with
    Spark, Kafka, Airflow, dbt, Python, SQL.
  • Solid understanding of
    data modeling, ELT/ETL,
    and distributed data processing.
  • Experience with
    large-scale datasets
    and performance optimization.
  • Familiarity with
    CI/CD, monitoring, and DevOps practices
    for data pipelines.

Nice to Have

  • Experience contributing to
    data architecture design
    .
  • Exposure to
    unstructured data processing
    (logs, PDFs, NLP).
  • Familiarity with
    BI tools
    (Power BI, Tableau, Looker).
  • Prior experience in
    startup or high-growth environments
    .

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