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 .
Lead Data Engineer • Delhi, Delhi, India