Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : PySpark
Good to have skills : Databricks Unified Data Analytics Platform
Minimum 8 year(s) of experience is required
Educational Qualification : Any technical Graduation

Role: Application Developer Project Role Description: Design, build and configure applications to meet business process and application requirements. Must have Skills : PySpark, SSI: NON SSI: Good to Have Skills :SSI: Databricks Unified Data Analytics Platform NON SSI : Job Requirements: '', 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 1 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark • Minimum of 3 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. • Minimum 2 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 Skil Educational Qualification:Any technical Graduation Additional Info: NA