Python
Amazon Web Services (AWS)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.
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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
Shubham Vishwakarma
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About HireTo
About
HireTo believes in delivering the best and unique solutions to your hiring needs,We do provide assistance and process oriented strategic growth to companies struggling in challenges of hiring and recruitment.
We believe in mutual growth of both the employer and employees and this helps us to align and create solutions to problems related to recruitment
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