Databricks Unified Data Analytics Platform

Role & responsibilities As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Key Responsibilities: ¢ Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions. €¢ Build and operate very large data warehouses or data lakes. €¢ ETL optimization, designing, coding, & tuning big data processes using Apache Spark. €¢ Build data pipelines & applications to stream and process datasets at low latencies. €¢ Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience: €¢ Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake.€¢ Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. €¢ Minimum of 2 years of experience years in real time streaming using Kafka/Kinesis€¢ Minimum 4 year of Experience in one or more programming languages Python, Java, Scala.€¢ Experience using airflow for the data pipelines in min 1 project.€¢ 1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Professional Attributes: €¢ Ready to work in B Shift (12 PM €“ 10 PM) €¢ A Client facing skills: solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders.€¢ Good critical thinking and problem-solving abilities €¢ Health care knowledge €¢ Good Communication Skills Educational Qualification: Bachelor of Engineering / Bachelor of Technology Preferred candidate profile Please apply if you are an immediate joiner and willing to work for C2H