Technical Skills:
- Proficiency in SQL and experience with Snowflake’s SQL syntax and capabilities.
- Experience with data modeling, data warehousing, and ETL processes.
- Familiarity with data integration tools (e.g., Talend, Informatica) and cloud platforms (e.g., AWS, Azure, GCP).
Analytical Skills:
- Strong problem-solving skills and ability to analyze complex data requirements.
- Ability to optimize performance and troubleshoot issues in a cloud-based environment.
Soft Skills:
- Excellent communication skills to collaborate with stakeholders and team members.
- Strong leadership and mentoring abilities.
Experience:
- Several years of experience in data engineering, data warehousing, or related fields.
- proven track record of working with Snowflake or similar cloud-based data platforms.
,[Develop and implement scalable, high-performance data architectures., Design data models, schema, and structures that support business needs., Ensure solutions are designed for optimal performance, scalability, and reliability., Write, debug, and optimize complex SQL queries and stored procedures., Develop ETL (Extract, Transform, Load) processes using tools and technologies compatible with Snowflake., Implement and manage data integration solutions., Monitor and optimize Snowflake performance, including query performance, workload management, and storage optimization., Analyze performance issues and implement solutions to enhance data processing efficiency., Work closely with cross-functional teams, including data engineers, data scientists, and business analysts., Mentor junior developers and provide technical guidance and best practices., Participate in code reviews and ensure adherence to development standards and best practices., Implement security best practices for data protection and access control., Ensure compliance with data governance and data privacy regulations., Develop and maintain automated processes for data loading and transformation., Monitor and maintain snowflake environments to ensure availability and reliability., Document data workflows, ETL processes, and data models., Provide regular reports on system performance, data integrity, and usage metrics., Stay updated with the latest developments and best practices in Snowflake and data warehousing., Propose and implement innovative solutions to enhance the data platform and overall data strategy.] Requirements: SQL, Data modeling, ETL, AWS, Snowflake, Talend
Informatica Google Cloud Platform (GCP) SQL Amazon Web Services (AWS) ETL Azure Talend snowflake-cloud-data-platform