Are you an experienced Data Engineer in the Insurance domain (P&C, Claims, ESS)? Utilize Azure, Databricks, Snowflake, PySpark, and more to deliver high-quality data solutions and improve systems.
Your Future Employer: Be part of a leading organization focused on transforming data into powerful insights for industries such as insurance, healthcare, and banking. You’ll work with a team dedicated to driving innovation, optimizing performance, and delivering impactful solutions. Experience a dynamic environment that prioritizes growth and excellence.
Location: Gurgaon
Note: Preferred experience with Azure, but any cloud platform experience will work. If you do not have experience with cloud technologies, strong experience in data engineering (DE) is required.
Responsibilities
Design and maintain data pipelines and models in Azure or similar platforms
Implement data solutions using Databricks, Snowflake, Teradata, and PySpark
Ensure data quality, consistency, and reliability throughout pipelines
Collaborate with teams to align data solutions with business goals
Improve performance, scalability, and reliability of data systems
Quickly adapt to client-specific data environments, particularly in Insurance
Requirements
6+ years of experience in data engineering and architecture
Proficiency in Azure, Databricks, Snowflake, Teradata, PySpark, GitHub
Solid understanding of ETL processes, data modeling, and pipeline orchestration
Experience with large-scale data sets and optimizing data solutions
Prior experience in Insurance (P&C, Claims, ESS)
Strong communication and collaboration skills
What's in it for you
Competitive salary and benefits
Opportunities to work on innovative projects in the Insurance domain
Reach us: If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at mini.dang@crescendogroup.in
Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
Profile Keywords: Data Engineer, Azure, Databricks, Snowflake, Teradata, PySpark, GitHub, ETL, Data Modeling, Insurance, P&C, Claims, ESS, Big Data, Cloud Technologies