Job description

Role: Azure Databricks Developer Location: Louisville KY & Pittsburgh PA 100% Onsite Long Term Contract W2/ C2C Interview Mode: Face-to-Face (F2F) Final Round Note: Locals Only No relocation or remote options Job Description: We are seeking a highly skilled Azure Databricks Developer to join our team for an onsite role requiring in-person interviews. The ideal candidate will have strong hands-on experience working with Azure Data Services especially Databricks and should be comfortable working directly from the client location. Key Responsibilities: • Design develop and optimize data pipelines using Azure Databricks and Apache Spark • Build scalable ETL/ELT processes to ingest data from various sources (structured semi-structured) • Work closely with data architects and analysts to understand data requirements and implement solutions • Write advanced PySpark/Scala scripts and performance-tune Spark jobs • Implement data quality checks and validation rules • Integrate with Azure components like Data Lake Storage (ADLS) Data Factory Synapse Event Hubs • Support deployment monitoring and debugging in Azure environments • Collaborate in Agile/Scrum teams attend stand-ups demos and code reviews Required Skills: • 8 years of experience in Data Engineering roles • 5-7 years of strong hands-on experience with Azure Databricks • Strong knowledge of PySpark SQL Spark SQL • Experience with Azure Data Factory ADLS Gen2 Synapse Analytics and Azure DevOps • Proficiency in working with Delta Lake DataFrames and optimization techniques • Excellent understanding of data modeling and large-scale data processing • Strong debugging performance tuning and troubleshooting skills • Ability to work onsite and attend face-to-face interviews Nice to Have: • Experience with Power BI Azure ML or Real-time streaming (Event Hubs/Kafka) • Knowledge of CI/CD pipelines and automation using Azure DevOps • Prior experience in Healthcare Finance or Manufacturing domains

Requirements