Technical Lead – Data Engineering

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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About the Role

Technical Lead – Data Engineering (TurboRater RQR: CPQ Rating)

critical part in the TurboRater RQR: CPQ Rating initiative


Key Responsibilities

  • Lead end-to-end design and development of data pipelines supporting

    TurboRater RQR: CPQ Rating

    .
  • Architect and implement

    Medallion Architecture

    (Bronze, Silver, Gold layers) for structured and semi-structured data.
  • Drive adoption of

    Data Mesh principles

    , decentralizing ownership and promoting domain-oriented data products.
  • Collaborate with business/product teams to align CPQ Rating requirements with scalable technical solutions.
  • Ensure

    data quality, lineage, and governance

    across rating-related data assets.
  • Optimize workflows for

    rating performance, scalability, and cost-efficiency

    .
  • Mentor and guide engineers working on TurboRater initiatives.
  • Stay updated with

    data & insurtech innovations

    relevant to CPQ and rating platforms.


Qualifications

  • Bachelor’s or Master’s degree in

    Computer Science, Data Engineering, or related field

    .
  • 8+ years

    of experience in data engineering with at least

    3 years in technical leadership

    .
  • Strong hands-on experience with

    Snowflake

    (data ingestion, transformation, performance tuning).
  • Proficiency in

    SQL Server

    and

    T-SQL

    .
  • Deep understanding of

    Medallion Architecture

    and

    Data Mesh principles

    .
  • Experience with

    data orchestration tools

    (Airflow, dbt), cloud platforms (Azure/AWS), and CI/CD pipelines.
  • Strong leadership and problem-solving skills.
  • Knowledge of

    Python

    or

    Scala

    for data processing.
  • Exposure to

    real-time data streaming

    (Kafka, Spark Streaming).


Mandatory Skills

  • GIT
  • Snowflake
  • ELT tools
  • SQL Server
  • .NET
  • CPQ Rating / TurboRater exposure preferred


Good to Have Skills

  • Prompt Engineering
  • Kafka
  • Spark Streaming
  • AWS
  • dbt


Domain Advantage

Insurance domain knowledge


Why Zywave?

Zywave is a leading provider of insurtech solutions, empowering insurance brokers and agencies with cutting-edge software tools for client engagement, data analytics, and growth. With a global footprint and a commitment to innovation, Zywave fosters a culture of continuous improvement, collaboration, and impact.

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