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.
.
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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Full Stack Developer - Averlon