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Founded :
2019
Type :
Products & Services
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Stage :
Bootstrapped

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Jobs at HireTo

HireTo
at HireTo
Rishita Sharma
Posted by Rishita Sharma
Hyderabad
5 - 13 yrs
₹15L - ₹30L / yr
snowflake
skill iconPython
SQL
Windows Azure
databricks
+4 more

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

  • Client onboarding from a data perspective
  • Understanding complex insurance data flows
  • Designing secure, scalable ingestion pipelines
  • Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

.

Key Responsibilities

  • Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
  • Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
  • Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
  • Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
  • Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
  • Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
  • Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
  • Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
  • Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
  • Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
  • Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

  • Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
  • Platforms: Azure, AWS, Data Bricks, Snowflake
  • ETL / Orchestration: Airflow or similar frameworks
  • Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
  • Visualization Exposure: Power BI
  • Version Control & CI/CD: GitHub, Azure Devops, or equivalent
  • Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering or similar roles
  • Strong ability to align technical solutions with business objectives
  • Excellent communication and stakeholder management skills

What We Offer

  • Direct collaboration with the core US data leadership team
  • High ownership and trust to manage the function end-to-end
  • Exposure to a global environment with advanced tools and best practices
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