| Data Science Engineer with Snowflake and Production Support Experience at Snowflake, Arizona, USA |
| Email: [email protected] |
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From: ashok, hclglobal [email protected] Reply to: [email protected] Data Science Engineer with Snowflake and Production Support Experience Job Location:- Remote Note: Helathcare Mandatory Mandatory Skill sets:- Production Support , Data Science Engineer, Snow Flake Key Responsibilities: Data Analysis & Insights Generation: Analyze and interpret large datasets from both on-premise and cloud environments (Snowflake, Teradata, SQL Server) to extract meaningful insights for system optimization and business decisions. Work with stakeholders to provide actionable recommendations based on data analysis results. Production System Monitoring & Maintenance: Continuously monitor the performance, stability, and data integrity of production systems in both cloud (Snowflake, Kafka) and on-premise environments (SQL Server, Teradata, Hadoop). Troubleshoot and resolve system performance issues, data discrepancies, and application errors to ensure seamless operations. ETL & Data Pipeline Management: Develop, maintain, and optimize ETL processes using Spark, Hadoop, and other big data technologies to ensure efficient and timely data movement across platforms. Implement and enhance data processing workflows to support complex data transformations and integrations across multiple systems. Application & Service Support: Provide production support for enterprise applications including WebSphere, PEGA, and Kafka, ensuring minimal downtime and rapid resolution of service disruptions. Collaborate with development teams to resolve issues in application stacks such as .NET, Java, and Angular, maintaining system stability and performance. Performance Optimization & Query Tuning: Optimize queries and improve performance for large-scale data processing in Teradata, Snowflake, and SQL Server. Enhance the efficiency of distributed data tasks and computation within Spark and Hadoop environments. Data Integration & Automation: Manage and automate data integration tasks between different environments (on-premise and cloud) using tools like Kafka and FTP. Ensure smooth data transfers, monitor batch jobs, and implement automation for data processing and system alerts. Security & Compliance: Ensure data handling, transfer protocols, and storage meet organizational security standards and compliance regulations (including the use of FTP and secure communication). Apply best practices in data governance and privacy in both cloud and on-prem environments. Documentation & Reporting: Document data processes, system configurations, and troubleshooting steps to create a knowledge repository. Provide detailed reports on system performance, issue resolution, and recommendations for future enhancements. Collaboration & Stakeholder Communication: Work closely with cross-functional teams, including DevOps, engineering, and business analysts, to ensure data solutions align with overall system requirements. Communicate technical findings clearly to non-technical stakeholders to support informed decision-making. Keywords: Data Science Engineer with Snowflake and Production Support Experience [email protected] |
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| 07:54 PM 23-Jan-25 |