About our Client Our client is one of the leading manufacturing companies globally. Designation: Databricks Engineer Location: Boston, MA (On-site) Experience: 8+ Years Client Interview: Face to Face Interview Minimum Years of Experience: 8-10 Years Mandatory Skills: Databricks, Hadoop, Python, Spark, Spark SQL, PySpark, and Airflow. IBM StreamSets (good to have knowledge) Key Responsibilities: • Develop Data Engineering and ML pipelines using Databricks and various AWS services including S3, EC2, API Gateway, RDS, Kinesis/Kafka, and Lambda to build serverless applications • Solid understanding of Databricks fundamentals/architecture with hands-on experience setting up clusters and working across modules (Data Engineering, ML, and SQL Warehouse) • Familiarity with Medallion architecture, DLT, and Unity Catalog within Databricks • Experience migrating data from on-prem Hadoop to Databricks/AWS • Strong understanding of core AWS services and architecture best practices • Hands-on experience across domains like database architecture, BI, ML, advanced analytics, and big data • Strong knowledge of Airflow and CI/CD pipelines in AWS • Experience migrating RDBMS, Java/Python applications, models, and Elasticsearch • Strong programming background in Scala, Python, and SQL please attach your updated resume while applying. You can share your resume on taukir@wiseskulls.com