Senior Data Engineer - Databricks Engineer

Capgemini • Atlanta, GA

1d

About The Position

Capgemini is looking to hire Senior Databricks engineer to join our Insight & Data Team.

Requirements

• 8+ Years of Experience in Data Engineering
• At least four years of experience designing and delivering data engineering solutions with Databricks
• Expert level hands on development knowledge in PySpark/Python
• Expert level hands on SQL development skills
• Hands on cloud platform experience in two of the following cloud platforms: Azure, AWS, Google Cloud
• Prior expertise deploying Delta Lake Solutions into production
• Solid grasp of database engineering and design principles
• Familiarity with CI/CD methods desired
• Background working with orchestration tools, such as Airflow
• Strong knowledge of Unity Catalog
• Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired
• Delta Sharing and Marketplace Expertise
• Experience working with Databricks Apps
• Working knowledge of Databricks Genie, AI/BI and Databricks Data Visualization Capabilities

Responsibilities

• Define and deploy an end to end data architecture that includes Databricks medallion architecture
• Leading large teams of engineers and developers to deploy Databricks solutions
• Extracting value from large and complex sets of data from various sources and databases
• Managing senior client stakeholders

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees