We are looking for an experienced Databricks Engineer with strong expertise in Databricks, AWS, PySpark, and SQL. The ideal candidate should have hands-on experience in designing, developing, optimizing, and supporting large-scale data processing solutions on the Databricks platform. The role involves both development and production support responsibilities, requiring strong troubleshooting, performance tuning, and collaboration skills.nnnKey ResponsibilitiesnnDesign, develop, test, and deploy scalable data processing solutions using Databricks.nBuild and optimize ETL/ELT pipelines using PySpark and SQL.nWork with AWS services, particularly S3, for data storage and processing.nDevelop high-performance Databricks solutions following industry best practices.nMonitor and support production workloads, investigate issues, and implement fixes.nPerform root cause analysis and provide timely resolution for production incidents.nCollaborate with business stakeholders, architects, and development teams to understand requirements and deliver solutions.nRecommend architecture improvements, code optimizations, and performance enhancements.nEnsure data quality, reliability, and scalability across data platforms.nParticipate in code reviews, testing, deployment, and release activities.nnRequired Skillsnn7+ years of overall IT experience.n5+ years of hands-on experience with Databricks development.nStrong experience with PySpark and SQL.nHands-on experience with AWS services, especially S3.nGood understanding of Databricks architecture and optimization techniques.nExperience in developing, debugging,



and maintaining production data pipelines.nKnowledge of data engineering best practices, performance tuning, and troubleshooting.nExperience handling production support activities and incident management.nStrong analytical and problem-solving skills.nExcellent communication and stakeholder management skills.nnPreferred SkillsnnDatabricks Certification.nExperience in Retail domain projects.nStrong understanding of ETL/Data Warehousing concepts.nExposure to DevOps practices and CI/CD processes.nExperience working in both development and support environments.nnEducational QualificationnnBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.nnWhat We Are Looking FornnSelf-driven professional capable of working independently.nStrong ownership mindset with the ability to handle production-critical issues.nAbility to identify opportunities for process improvements and platform optimization.nExcellent collaboration and communication skills to work effectively with customers and cross-functional teams.nnWe are looking for an experienced Databricks Engineer with strong expertise in Databricks, AWS, PySpark, and SQL. The ideal candidate should have hands-on experience in designing, developing, optimizing,



and supporting large-scale data processing solutions on the Databricks platform. The role involves both development and production support responsibilities, requiring solid troubleshooting, performance tuning, and collaboration skills.nKey ResponsibilitiesnnDesign, develop, test, and deploy scalable data processing solutions using Databricks.nBuild and optimize ETL/ELT pipelines using PySpark and SQL.nWork with AWS services, particularly S3, for data storage and processing.nDevelop high-performance Databricks solutions following industry best practices.nMonitor and support production workloads, investigate issues, and implement fixes.nPerform root cause analysis and provide timely resolution for production incidents.nCollaborate with business stakeholders, architects, and development teams to understand requirements and deliver solutions.nRecommend architecture improvements, code optimizations, and performance enhancements.nEnsure data quality, reliability, and scalability across data platforms.nParticipate in code reviews, testing, deployment, and release activities.nnRequired Skillsnn7+ years of overall IT experience.n5+ years of hands-on experience with Databricks development.nStrong experience with PySpark and SQL.nHands-on experience with AWS services, especially S3.nGood understanding of Databricks architecture and optimization techniques.nExperience in developing, debugging, and maintaining production data pipelines.nKnowledge of data engineering best practices, performance tuning, and troubleshooting.nExperience .

📌 AWS Data Bricks 5+ years (Hyderabad)
🏢 Zorba Consulting India
📍 Hyderabad