We are Ginteja Insurance Brokers Private Limited (Promoted by Shaym Steel Industries and Sastasundar Group). We are looking for Data-Analytics Engineer.
Key Responsibilities
Data Engineering & Development
· Design, build, and maintain robust ETL/ELT pipelines for ingesting data from multiple sources, including:
· Develop and optimize data models, data warehouses, and data marts.
· Implement batch and real-time data processing solutions.
· Ensure data quality, integrity, consistency, and availability across enterprise systems.
· Create reusable frameworks for data ingestion, transformation, validation, and monitoring.
Data Platform & Architecture
· Build scalable cloud-based data platforms and lakehouse architectures.
· Manage structured, semi-structured, and unstructured datasets.
· Implement data governance, metadata management, and lineage tracking.
· Support master data management initiatives.
Analytics & Reporting
· Collaborate with CRM and other teams to deliver datasets for various Business Insight Analytics - Sales analytics, Policy conversion analytics Customer acquisition and retention analytics, Renewal analytics, Claims analytics, Cross-sell and upsell performance tracking
· Optimize datasets for reporting and dashboarding requirements.
Performance & Reliability
· Monitor data pipeline performance and troubleshoot production issues.
· Implement automated testing, alerting, and monitoring mechanisms.
· Ensure compliance with SLAs for data availability and processing timelines.
Security & Compliance
· Ensure adherence to data privacy and security regulations.
· Implement access controls, encryption, and secure data handling practices.
· Support audit and compliance requirements relevant to the insurance industry.
Primary Skills (Required)
· Strong SQL skills and database optimization experience.
· Strong and demonstrable Data Modelling experience
· Proficiency in Python, PySpark, Scala, or Java.
· Experience with ETL/ELT development and orchestration tools.
· Experience working with cloud platforms (preferably AWS)
· Experience with data warehouse technologies such as (PostgreSQL or Snowflake or BigQuery)
· Knowledge of distributed data processing frameworks (PySpark or Apache Spark or Hadoop etc.)
· Experience with workflow orchestration tools: (AWS Glue or Airflow)
· Experience with version control systems such as Git.
· Experience with Unix/Linux scripting
Pay: ₹800,000.00 - ₹1,500,000.00 per year
Benefits:
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
Experience:
- SQL skills and database optimization: 3 years (Required)
- Python, PySpark, Scala, or Java: 3 years (Required)
- ETL/ELT development and orchestration tools: 3 years (Required)
- Unix/Linux scripting : 3 years (Required)
Work Location: In person
