More jobs:
USA_Lead
Job in
Raleigh, Wake County, North Carolina, 27601, USA
Listed on 2026-06-02
Listing for:
Varite, Inc
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Big Data, Data Analyst
Job Description & How to Apply Below
GBAM Req :
Role:
Databricks Lead
Job Description:
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).
Skills:
Category Name Required Importance Experience Skill Category Test1 _MN Digital :
Apache Spark Yes 1 >7 years
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.
Nice-to-Have:
Knowledge of insurance industry data.
Skills:
Digital :
Python~Digital :
Apache Spark~Digital :
Databricks
Experience
Required:
8-10
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