Big Data Engineer W/Kafaka

Data Engineer (Immediate interview) Louisville, Kentucky(Onsite) 6+ Months Databricks Certified, Spark programming, Azure Data Factory, Strong SQL Skills Must Haves: 3. AI Agents & Genie Rooms in Data Bricks 4. Azure Data Factory (ADF) --5 years 5. Strong understanding of SQL--5 years 6. Spark - 2 years 7. Python - 3 years 8. MUST have Power BI development experience and able to help with performance testing 9. Good Verbal communication skills 10. Understanding of Agile process 11. Mainframe e

10+ years of experience inJava, core java and advance java concepts and technologies. Software development experience. Hands on experience in Kafka Connect and Kafka messaging event streams. Must have experience in Java (Spring Boot). No SQL DB for eg: Cassandra. MongoDB and a solid understanding of when to use what. Expertise in OpenShift Kubernetes. Expertise in non-relational document database. Hands on experience on event driven architecture. Expert in profiling the codebase. Willing to lear

Role:Senior Data Engineer Location: Remote Duration:6+ Month Contract Job Summary We are seeking a hands-on Senior Data Engineer with 5+ years of experience building and supporting enterprise-scale data platforms. The ideal candidate will have strong expertise in AWS, Python, SQL, ETL/ELT development, data integration, and modern data engineering practices. This role will be responsible for designing, developing, and optimizing scalable data pipelines that support analytics, reporting, and busin

Location: Multiple Locations (Remote / Onsite / Hybrid options available) Duration: 12-Month Contract Experience Required: 14+ years overall (with 8-10 years dedicated to Data Engineering) Description We are seeking a high-caliber Lead Data Engineer / Architect to take ownership of designing and scaling our enterprise Lakehouse architecture on Databricks. In this role, you will drive data platform standards, lead engineering decisions, optimize performance/costs, and mentor engineering teams