Posted on: 11/07/2025
Job Description :
In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh.
Next Gear India Private Limited plays a vital role in Cotality's Product Development capabilities, focusing on creating and delivering innovative solutions for the Property & Casualty (P&C) Insurance and Property Restoration industries.
While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success.
When you join Next Gear India Private Limited, you become part of the global Cotality team.
Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights.
- Create and maintain optimal data pipeline architecture.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Evaluate feasibility and make recommendations, considering things such as customer requirements, time limitations, system limitations.
- Serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs.
- Build documentation repository for knowledge transfer and developing expertise in multiple areas.
- Provide operational support on complex/escalated issues to diagnose and resolve incidents in production data pipelines.
Job Qualifications :
- BS Degree or equivalent work experience in a software engineering discipline.
- Typically has 8-10 years experience in an applicable software development environment.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (SQL, Postgres).
- Experience with diverse coding, profiling, and visualization approaches including authoring SQL queries, BigQuery, Python, Google Cloud or equivalent.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Hands on experience with Cloud Platforms (AWS, GCP, or Azure).
- Experience in designing and implementing large-scale event-driven architectures.
- Understanding of data warehousing and data modeling techniques.
- Understanding of Big Data, Cloud, Machine Learning approaches and concepts (preferred).
- Experience working as a member of a distributed team.
- Ability to organize and coordinate with stakeholders across multiple functions and geographic locations.
- Ability to develop and write technical specifications.
- Coaching and teaching skills to mentor less experienced team members.
- Excellent analytical and problem management skills.
- Good interpersonal skills and positive attitude.
Experience With The Following Tools And Technologies :
- Elastic Search, Kafka.
- Google Cloud Airflow (preferred).
- Python, Java, C++.
- Big Query.
Thrive with Cotality :
At Cotality, were committed to supporting your whole self-at work and beyond.
Our India benefits package is thoughtfully designed to promote your well-being, financial security, and professional growth.
From comprehensive health coverage to flexible leave, retirement planning, and mental health support, we help you thrive every step of the way.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1511929
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