About us

We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to protect their assets, relying on our comprehensive risk assessments and robust, engineering-based insurance solutions to safeguard against fire, natural disasters, and other perils. Serving over a quarter of the Fortune 500 and major corporations globally, we deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India is a strategic location for driving our global operational efficiency. Our presence in India allows us to leverage the country’s talented workforce and advance our capabilities to serve our clients better. We have diverse corporate functions that emphasize research, advanced technologies like AI and analytics, risk engineering, research, finance, marketing, HR, etc. working together to provide innovative solutions and nurture lasting relationships – from co-workers to clients.

Role Title: Senior Data Engineer

Position Summary

Responsible for analysis, data modeling, data collection, data integration, and preparation of data for consumption. This includes creating and managing data infrastructure, data pipeline design, implementation and data verification. Along with the team, responsible for ensuring the highest standards of data quality, security and compliance.

Displays personal accountability for successful outcomes and support quality efforts within the team. Interfaces with colleagues and other stakeholders to evaluate defined business requirements and processes. Uses available approved technologies.

Responsible for implementing methods to improve data reliability and quality, combine raw information from different sources to create consistent data sets. This role will need to be well versed in DataOps and have learned, and are capable of using,



relevant technologies. Those holding this position are typically assigned to lead small scale projects and participate as part of a development team on larger projects.

Job Responsibilities

Data Acquisition

Develop solid knowledge of structured and unstructured data sources within each product journey (Underwriting and Risk

- Client Service, Sales and Marketing
- Claims
- Account and Location Engineering) as well as emerging data sources (purchased data sets; external data; tc.)

Partner with Data Analytics team members, product owners, developers, solution architects, business analysts, data engineers, data analysts, data scientists and others to understand data and reporting needs

Develop solutions using data modeling techniques

Use technologies such as Analytical Platform Services (APS), Synapse, SQL Server, SSIS, and others as required

Validate code through detailed and disciplined testing

Participate in peer code review to ensure solutions are accurate

Ensure tables and views are designed for data integrity, efficiency and performance, and are easy to comprehend.

Move and Store Data

Data flow, infrastructure pipelines, ETL/ELT, structured and unstructured data movement and storage solutions.

Design data models and data flows into and out of Data Analytics databases

Understand and design data relationships between business and data subject areas

Follow standards for naming conventions, code documentation and code review.

Support data exploration and transformation needs:

Support team members with data cleansing tasks





Conduct data profiling to identify data anomalies

Assist team members with data preparation tasks

Support users and production applications

Support developers, data analysts and data scientists who need to interact with data in either data warehouse

Analyze and assess reported data quality issues, quickly identifying root cause

Consult dba(s) and team members on configuration and maintenance of the warehouse infrastructure

Monitor system performance and identify opportunities for optimization

Monitor storage capacity and reliability

Address production issues quickly, with appropriate validation and deployment steps

Provide clear and qualified communication to users, management, and teammates

Provide ad hoc data extracts and analysis to respond to tactical business needs.

Participate in effective execution of team priorities:

Identify work tasks and capture them in the team backlog

Organize known tasks, following provided prioritization

Escalate colliding priorities

Provide production support

Network with product teams to keep abreast of database changes as well as business process changes which result in data interpretation changes.

Skill and Experience

2 year of experience required to perform essential job functions.

Data modeling abilities

Relational 3rd Normal Form and nonrelational KimballInmon database theory

Design, build, maintain data warehouses

Understanding of database clustering

Experience with databases including SQL Server and Massively Parallel Processing mpp

Knowledge of Azure Cloud applications

ETL design

Programming languages C, Python, RScript, JSON, Java

Must Have Skills

Required

SQL, Spark/Pyspark, ETL, Fabric, Data Lakes/Warehouses, ability to read and create data models

- Preferred: Python, Kafka, Synapse.

Education and Certifications

4 Year / Bachelors Degree.

Work location

Bengaluru

📌 Senior Data Engineer-29515] (Vasanth Nagar)
🏢 Fm
📍 Vasanth Nagar