Hi,
Hope you are doing well!!
I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details at Jitendra.s@noviainfotech.com
Knowledge of insurance industry data.
Role: Databricks Lead
Location: ONSITE- Charlotte/ Raleigh, NC
Skills: Digital : Python~Digital : Apache Spark~Digital : Databricks
Experience Required: 8-10
Role: Databricks Lead
Location: ONSITE- Charlotte/ Raleigh, NC
Must Have Technical/Functional Skills
10+ years overall experience in data engineering or related fields.
3–5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.
Roles & Responsibilities
We are seeking a hands-on Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory.
Development
Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.
Develop and optimize SQL queries for data transformation and analysis.
Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.
Collaborate with data analysts and business teams to deliver actionable insights.
Build job orchestration and monitoring solutions
Ensure data quality, performance, and reliability across workflows.
Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
Work with cloud-based data platforms (Azure preferred).
Required Skills & Experience:
10+ years overall experience in data engineering or related fields.
3–5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.
Jitendra Singh
Sr.Technical Recruiter
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