Data Bricks , Pyspark , SQL

ECMS Req # 527070 Relevant and Total years of experience Relevant 5+ years and Total 6 + years Detailed job description - Skill Set: Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. Good to have experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices for automated deployment and monitoring of data pipelines. Mandatory Skills Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services.