Immediate Joiner
Job Title: Data Engineer
Location: Noida, Film City Sector 16A
Experience: 3.5-7 years
Budget: Upto 40LPA
Role Overview
:
We are seeking a highly skilled Data Engineer to build and scale modern data platforms that power underwriting, claims, actuarial, finance, and AI/ML initiatives. You will design robust data pipelines, optimize large-scale data processing frameworks, and enable analytics and AI solutions through high-quality, trusted data asset
s.The ideal candidate combines strong engineering fundamentals with expertise in cloud-native data platforms, distributed processing, and data governance. Experience in insurance data domains is highly preferre
d.
Key Responsibiliti
- es:
Design, develop, and maintain scalable batch and real-time data pipeli - nes.Build and optimize ETL/ELT workflows for structured and unstructured datas
- ets.Develop data models and curated data products for analytics, reporting, and AI use ca
- ses.Integrate data from policy administration, claims, underwriting, telematics, finance, and external data provid
- ers.Implement data quality, validation, monitoring, lineage, and governance framewo
- rks.Optimize performance, reliability, and scalability of enterprise data platfo
- rms.Collaborate with Data Scientists, AI Engineers, Business Analysts, and Underwriting te
- ams.Support cloud migration and modernization initiati
- ves.Build reusable frameworks for ingestion, transformation, orchestration, and observabil
- ity.Ensure compliance with security, privacy, and regulatory requireme
nts.
Required Sk
ills:
Data Engin
- eeringStrong proficiency in Python an
- d SQL.Experience building enterprise-grade ETL/ELT pipe
- lines.Expertise in Apache Spark/Py
- Spark.Experience with workflow orchestration tools such as Ai
- rflow.Strong understanding of data modeling and warehousing con
cepts.
Cloud & B
- ig DataHands-on experience with AWS, Azure,
- or GCP.Experience with cloud data platforms s
- uch as:Sn
- owflakeDat
- abricksAzure
- SynapseR
- edshiftB
- igQueryKnowledge of data lake and lakehouse archite
ctures.
Engineering P
- racticesCI/CD and DevOps exp
- erience.Git-based version
- control.Containerization using
- Docker.Exposure to Kubernetes is
- a plus.Strong understanding of performance tuning and optim
ization.
Preferred Qualif
- ications:Experience working with Property & Casualty (P&C) insura
- nce data.Familiarity with underwriting, claims, policy lifecycle, and risk a
- nalytics.Exposure to ML pipelines and MLOps fr
- ameworks.Experience with streaming technologies such as Kafka or Ev
- ent Hubs.Knowledge of data governance, lineage, and metadata manageme
- nt tools.Understanding of GenAI, vector databases, and RAG architectures i
s a plus.
- Education:Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or rela
ted field.
What You
- will Gain:Opportunity to work on AI-driven transformation initiatives in
- insurance.Exposure to global underwriting and claims
- operations.Hands-on experience with cutting-edge cloud and analytics te
- chnologies.Career growth across Data Engineering, Data Architecture, AI Engineering, and Platform E
- ngineering.Collaborative environment focused on innovation and measurable busi
ness impact
