| Hiring Lead/Sr Data Warehouse Engineer (Java, Kafka, Real-time Streaming)-Charlotte, NC-C2C at Charlotte, North Carolina, USA |
| Email: [email protected] |
| Job Description: Lead/Sr Data Warehouse Engineer (Java, Kafka, Real-time Streaming) Data Engineer;Data Analyst would also be suitable for this role About the Role: As a Lead/Sr Data Warehouse Engineer, you will play a pivotal role in designing, developing, and managing data warehousing solutions that support critical business decisions. You will leverage your expertise in Java, Kafka, and real-time data streaming to build scalable and efficient data pipelines that transform raw data into actionable insights. Responsibilities: Design and implement data warehouse architectures, including data modeling, ETL processes, and data quality management. Develop and maintain data pipelines using Java and Kafka to ingest, process, and transform real-time streaming data. Optimize data warehouse performance and scalability. Ensure data quality and consistency throughout the data warehousing process. Collaborate with business analysts and data scientists to understand data requirements and deliver valuable insights. Stay updated on the latest data warehousing technologies and trends. Required Skills and Experience: Strong proficiency in Java programming language. Experience with data warehousing concepts and tools (e.g., ETL tools, data modeling). In-depth knowledge of Kafka and real-time data streaming technologies. Understanding of SQL and database design principles. Experience with data modeling and data profiling techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. To identify suitable candidates for the Lead/Sr Data Warehouse Engineer role, consider the following criteria: Technical Skills: Java Proficiency: Strong proficiency in Java programming language is essential for developing data pipelines and ETL processes. Data Warehousing: In-depth knowledge of data warehousing concepts, tools, and best practices. Kafka Expertise: Proven experience with Kafka and real-time data streaming technologies. SQL and Databases: Understanding of SQL, database design principles, and data modeling techniques. Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure is a plus, as it demonstrates adaptability to modern data architectures. -- Deepakkumar.k | +14084003704 | US IT Recruiter Email:[email protected] www.linkedin.com/in/deepakkumar-k-213532236 Vy systems Inc 4701 Patrick Henry Drive Building 16 Santa Clara CA 95054, USA -- Keywords: information technology wtwo California Hiring Lead/Sr Data Warehouse Engineer (Java, Kafka, Real-time Streaming)-Charlotte, NC-C2C [email protected] |
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| Thu Oct 10 01:38:00 UTC 2024 |