DEVELOPER SNOWFLAKE DATA PLATFORM - L3

Job description

Job description: Job Description **Role Purpose** The purpose of this role is to develop and test software modules based on client requirements and prepare project documentation while coordinating with cross-functional teams to ensure quality delivery. ͏ Areas of responsibility ͏ Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements. Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components. ͏ Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions. Implementation-Participate in implementation of software application and its integration with other systems to ensure stability. Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code. ͏ Stakeholder Collaboration-Collaborate with cross functional teams  to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards. **Job Requirements** **Snowflake Architect(11-15 years):** - Snowflake and Lakehouse architecture - Data Platform Modernization experience to snowflake - Snowflake certification - Designing Snowflake services experience- Snowpark,cortex AI - Data Model experience on Snowflake - Data Pipeline build on Snowflake - Medallion Architecture and DataMesh/Data Products experience - Mentoring Data Engineers on solutions - Azure /AWS data services experience - Technical design experience of Data Lake - Data Governance and Data Quality solutions - Solution Architecture Coding/scripting experience developed in a commercial/industry setting (Python, and SQL). **Databases & frameworks:** Working experience with operational data stores, data warehouse, big data technologies and data lakes. Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle, experience with relational and dimensional data structures. Good knowledge of containers (Docker, Kubernetes etc) **Cloud** : Experience with any cloud(AWS,Azure) Good understating of cloud storage, and snowflake resource provisioning **Key Responsibilities** Data Architect, Data Engineer, SQL/No SQL scripting, Coding Python/pyspark, ETL Job deployment, Code design, Unit testing and UAT Support