Job
Description
As a Databricks Engineer at our company, your role involves designing, developing, and implementing big data solutions using Databricks and Apache Spark. You will collaborate with cross-functional teams to gather requirements, troubleshoot and resolve big data processing issues, and optimize solutions for performance and scalability. Your responsibilities will also include developing and maintaining Databricks notebooks, jobs, and workflows, as well as ensuring seamless integration of big data solutions. Additionally, you will be expected to develop and maintain technical documentation. Key Responsibilities: - Design, develop, and test big data solutions using Databricks and Apache Spark. - Collaborate with cross-functional teams to gather requirements and design big data solutions. - Develop and maintain Databricks notebooks, jobs, and workflows. - Troubleshoot and resolve big data processing issues. - Optimize Databricks solutions for performance, scalability, and cost-effectiveness. - Collaborate with other teams to ensure seamless integration of big data solutions. - Develop and maintain technical documentation. Qualifications Required: - 6-10 years of experience in big data engineering and development. - Strong experience with Databricks and Apache Spark. - Experience with big data technologies such as Hadoop, Hive, and Kafka. - Strong understanding of data structures, algorithms, and database design principles. - Experience with cloud-based big data platforms such as AWS or Azure. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. If interested in this opportunity, please share your resume to divya.s@cognisolglobal.com. As a Databricks Engineer at our company, your role involves designing, developing, and implementing big data solutions using Databricks and Apache Spark. You will collaborate with cross-functional teams to gather requirements, troubleshoot and resolve big data processing issues, and optimize solutions for performance and scalability. Your responsibilities will also include developing and maintaining Databricks notebooks, jobs, and workflows, as well as ensuring seamless integration of big data solutions. Additionally, you will be expected to develop and maintain technical documentation. Key Responsibilities: - Design, develop, and test big data solutions using Databricks and Apache Spark. - Collaborate with cross-functional teams to gather requirements and design big data solutions. - Develop and maintain Databricks notebooks, jobs, and workflows. - Troubleshoot and resolve big data processing issues. - Optimize Databricks solutions for performance, scalability, and cost-effectiveness. - Collaborate with other teams to ensure seamless integration of big data solutions. - Develop and maintain technical documentation. Qualifications Required: - 6-10 years of experience in big data engineering and development. - Strong experience with Databricks and Apache Spark. - Experience with big data technologies such as Hadoop, Hive, and Kafka. - Strong understanding of data structures, algorithms, and database design principles. - Experience with cloud-based big data platforms such as AWS or Azure. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. If interested in this opportunity, please share your resume to divya.s@cognisolglobal.com.
