Lead Data Scientist - Data Science and Analytics
HDFC Life Insurance Company Limited (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 14–24 LPA
Posted 11h ago
Reach people at HDFC Life Insurance Company Limited
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at HDFC Life Insurance Company Limited you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using PySpark, Python, and SQL, primarily on Google Cloud Platform.
- Manage data ingestion and transformation from sources like Hive, Kafka, and cloud-native services, ensuring timely and reliable data delivery with Apache Airflow.
- Optimize data processing for performance, scalability, cost-efficiency, and enforce data quality, governance, security, and privacy standards.
Minimum Requirements
- 5+ years of experience in data engineering or related roles.
- Strong programming skills in Python and PySpark; proficiency in SQL and Hive.
- Hands-on experience with Apache Airflow and Kafka; experience with Google Cloud Platform services (BigQuery, Dataflow, Dataproc).
- Engineering Graduate degree is mandatory.
Ideal Candidate Profile
- Experienced with large-scale big data ecosystems and distributed computing environments.
- Comfortable working with both structured and unstructured data across cloud platforms, especially GCP and AWS.
- Familiar with data pipeline orchestration, data governance, security compliance, and performance optimization.