Senior Data Platform Engineer

4 days ago

Pune, India Zywave Full time

Job Title:
Senior Data Platform Engineer

Location:
Pune, India

Work Mode:
Work From Office (WFO), 5 Days a Week

Shift Timing:
12:00 PM – 9:00 PM IST

About Zywave

Zywave is a leading provider of InsurTech solutions, empowering insurance brokers and agencies with innovative software tools to grow and manage their business. We are building a modern data platform to deliver scalable, secure, and high-performance solutions that drive actionable insights across the organization.

Job Summary

We are looking for a
highly skilled and experienced Senior Data Platform Engineer
to lead the design, development, and optimization of our enterprise data platform. The ideal candidate will have deep expertise in
Snowflake, ELT pipelines, DBT, and Azure Data Factory
and will play a key role in enabling data-driven decision-making across Zywave.

Key Responsibilities

  • Design and implement scalable
    ELT pipelines
    using DBT and Azure Data Factory to ingest, transform, and load data into Snowflake.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data models.
  • Optimize
    Snowflake performance
    through clustering, partitioning, and query tuning.
  • Develop and maintain reusable
    DBT models and documentation
    for data consistency and transparency.
  • Ensure
    data quality, governance, and security
    across the platform.
  • Monitor and troubleshoot pipeline issues; implement proactive and scalable solutions.
  • Lead
    code reviews
    , mentor junior engineers, and drive best practices in data engineering.
  • Stay current with emerging technologies and recommend enhancements to the data platform architecture.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 8+ years
    of experience in data engineering or data platform development.
  • Strong hands-on expertise in
    Snowflake, DBT, Azure Data Factory, and ELT pipeline design
    .
  • Proficiency in
    SQL and Python
    for data manipulation and automation.
  • Experience with
    CI/CD tools
    and version control systems (e.g., Git).
  • Familiarity with
    data governance, security, and compliance
    standards.
  • Strong problem-solving skills and ability to work independently as well as in teams.
  • Solid understanding of
    data warehousing concepts and dimensional modeling
    .
  • Exposure to
    Tableau, Power BI, or similar visualization tools
    is a plus.
  • Snowflake certification
    is an advantage.

Skills

Mandatory:
Git, Snowflake, DBT, Python, SQL

Good to Have:
Azure Data Factory, ETL, AWS Glue, Tableau, Power BI, Prompt Engineering

Domain Knowledge:
Insurance domain exposure preferred

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