Job Description

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
GurgaonNote
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 usIf 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.inDisclaimerCrescendo 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.NoteWe 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

Crescendo Global