What are the responsibilities and job description for the Data Science-Artificial Intelligence-Gen AI (remote work position at Resource Logistics?
Data Science-Artificial Intelligence-Gen AI
Contract
Remote work
o Experience with : Kong AI Gateway and / or Mosaic AI Gateway
Job Summary
The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Clienture Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance. (1.) Key Responsibilities
1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, Clienture data factory (adf), and data bricks projects.
2. Design, develop, and maintain data pipelines using snowflake, Clienture data factory (adf), and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
Skill Requirements
1. Proficiency in snowflake, including data modeling, querying, and performance optimization.
2. Strong experience in Clienture data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.
4. Ability to design, develop, and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.
o Experience with unstructured data ingestion patterns, Clienture and Databricks
o Experience with : log tables, dashboards, AI gateway monitoring, Databricks and PowerBI.
Data Engineer / Analyst
o Experience with unstructured data ingestion patterns, Clienture and Databricks
o Experience with : log tables, dashboards, AI gateway monitoring, Databricks and PowerBI.
o To execute continuous improvement activities and to improve the team's performance
o Should be flexible to work under PST overlap hours
o Excellent communication and logical analytical skills
