Role : Senior Data Engineer
Location : Mumbai (Work from Office)
Experience : 8 -12 Years
Type : Full-time
Salary : Up to 50 LPA (based on fitment)
About the Role
We are looking for a hands-on Senior Data Engineer to help design, build, and scale our client’s modern data infrastructure. You will be responsible for creating the data backbone that supports underwriting, pricing, claims, and fraud analytics across the business.
This is an exciting opportunity to join a 0→1 journey , contributing to the design and implementation of scalable, cloud-native data platforms.
Key Responsibilities
- Develop and maintain scalable data pipelines for structured and unstructured data.
- Design and evolve the data lake and warehouse architecture.
- Ensure data availability, quality, and readiness for analytics, ML, and reporting.
- Collaborate with product, analytics, and data science teams on data models.
- Optimize systems for scale and near real-time processing.
- Implement data governance, lineage, and security practices in compliance with IRDAI.
- Stay updated with modern data engineering tools and frameworks.
Must Have
8-12 years of experience in Data Engineering.Proven expertise in building data platforms (ingestion, transformation, storage, access).Strong hands-on experience with AWS (S3, EMR, Glue, Lambda, Kinesis, Redshift).Proficiency with Spark, Kafka, Airflow, dbt, Python, SQL.Solid understanding of data modeling, ELT / ETL, and distributed data processing.Experience with large-scale datasets and performance optimization.Familiarity with CI / CD, monitoring, and DevOps practices for data pipelines.Nice to Have
Experience contributing to data architecture design .Exposure to unstructured data processing (logs, PDFs, NLP).Familiarity with BI tools (Power BI, Tableau, Looker).Prior experience in startup or high-growth environments .