Databricks Engineer

Position Title : Databricks Engineer Location : Cary, NC (Onsite/Hybrid from Day 1) Experience : 8+ Years Employee Type : Full Time with BenefitsJob DescriptionWe 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 ResponsibilitiesDesign, 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 QualificationsBachelor'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 SkillsMust HaveDatabricksApache SparkPySparkSpark SQLDelta LakePythonSQLETL/ELT DevelopmentData WarehousingData ModelingAzure/AWS/GCPGitCI/CD Preferred SkillsDatabricks WorkflowsStructured StreamingKafka/Event HubsAzure Data Factory (ADF)Azure Synapse AnalyticsAWS GlueAirflowTerraformPower BI or TableauDevOps and Infrastructure as Code (IaC)If your Interested, Kindly, share us your resume on abuzar.umar@capgemini.comLife At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini 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