Databricks Engineer

Position Title : Databricks Engineer

Location : Cary, NC (Onsite/Hybrid from Day 1)

Experience : 8+ Years

Employee Type : Full Time with Benefits

Job Description

We are seeking a highly skilled Databricks Engineer with 8+ years of experience in Data Engineering, Big Data, and Cloud technologies. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Databricks Lakehouse Platform. This role requires deep expertise in Databricks, PySpark, Spark SQL, Delta Lake, and cloud-based data platforms to support enterprise analytics and data modernization initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
• Build and optimize ETL/ELT workflows for large-scale batch and streaming data processing.
• Develop data transformation and enrichment processes using PySpark and Spark SQL.
• Implement and manage Delta Lake and Medallion Architecture to support reliable and high-performance data platforms.
• Integrate data from multiple sources including databases, APIs, cloud storage, and streaming platforms.
• Collaborate with data architects, business analysts, and application teams to deliver data-driven solutions.
• Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency.
• Implement data quality, governance, security, and monitoring frameworks.
• Support CI/CD automation, release management, and production deployments.
• Troubleshoot production issues and provide ongoing platform support.
• Document technical designs, processes, and operational procedures.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of overall IT experience with strong expertise in Data Engineering and Big Data technologies.
• 5+ years of hands-on experience with Databricks.
• Strong experience with Apache Spark, PySpark, Spark SQL, and Delta Lake.
• Proficiency in Python and SQL programming.
• Experience designing and implementing enterprise-scale ETL/ELT solutions.
• Strong understanding of Data Warehousing, Data Modeling, and Lakehouse Architecture.
• Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with source control tools such as Git and CI/CD implementation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills.

Required Technical Skills

Must Have

• Databricks
• Apache Spark
• PySpark
• Spark SQL
• Delta Lake
• Python
• SQL
• ETL/ELT Development
• Data Warehousing
• Data Modeling
• Azure/AWS/GCP
• Git
• CI/CD

Preferred Skills

• Databricks Workflows
• Structured Streaming
• Kafka/Event Hubs
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• AWS Glue
• Airflow
• Terraform
• Power BI or Tableau
• DevOps and Infrastructure as Code (IaC)

If your Interested, Kindly, share us your resume on [email protected]

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law