What are the responsibilities and job description for the Data Science Engineer - Remote / Telecommute position at Cynet Systems?
Job Details
We are looking for Data Science Engineer - Remote / Telecommute for our client in Richmond, VA
Job Title: Data Science Engineer - Remote / Telecommute
Job Location: Richmond, VA
Job Type: Contract
Job Description:
Responsibilities:
Data Analysis and 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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