Location: Charlotte, NC — Onsite HybridYour Role We are looking for an experienced Azure Databricks Engineer with strong expertise in cloud‑based data engineering, ETL development and distributed data processing. The ideal candidate should have solid hands‑on experience with PySpark, Delta Lake, Azure Data Factory and building scalable data pipelines on Azure. The engineer will work closely with business Data Architects and cross‑functional teams to design, develop and optimize data pipelines for enterprise‑grade analytics and reporting.Key Responsibilities Design, develop and optimize ETL/ELT pipelines using Azure Databricks and PySpark.Build scalable data ingestion workflows from various structured and unstructured sources.Implement transformation logic, data cleansing, enrichment and validation frameworks.Work with Delta Lake to build Medallion architecture (Bronze, Silver, Gold layers).Develop reusable Databricks notebooks and jobs for production data workflows.Build and orchestrate pipelines using Azure Data Factory.Integrate Databricks with other Azure services: ADLS, Azure SQL, Event Hub, Key Vault, Synapse.Optimize compute environments, clusters, pools and autoscaling.Implement DevOps processes using Git, CI/CD and Azure DevOps.Optimize PySpark jobs for performance and cost efficiency.Implement best practices for data governance, security and access control.Troubleshoot production issues and perform root‑cause analysis.Conduct code reviews ensuring coding standards and data quality.Collaborate with Data Architects to define architecture and design patterns.Prepare technical documents, solution diagrams and runbooks.Collaborate with business stakeholders to understand requirements and translate them into technical solutions.Mandatory Skills Azure Databricks notebooks, jobs, workflows, Delta Lake.PySpark dataframes, Spark SQL optimization, debugging.Azure Data Factory (ADF) triggers, pipelines, integration runtime.Data Lake Storage (ADLS Gen2) folder structures, partitioning, security.CI/CD, Git branching strategies, Azure DevOps pipelines.SQL – strong proficiency in writing optimized queries.Compensation Base compensation range: $80,420 – $106,050 (market‑adjustable and may change). Additional variable incentives, bonuses or commissions may apply based on performance and legal conditions.Benefits Paid time off: vacation 12–25 days, company holiday, personal days, sick leave.Medical, dental, vision coverage (or provincial healthcare coordination in Canada).Retirement savings plans (401(k) in the U.S., RRSP in Canada).Life and disability insurance.Employee assistance programs.Equal Opportunity Employer Capgemini is an Equal Opportunity Employer encouraging inclusion 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.Physical, mental, sensory or environmental demands may be referenced to communicate the manner in which this position traditionally is performed. Capgemini will consider reasonable accommodations under a given law and will provide reasonable accommodation during the recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.#J-18808-Ljbffr
