Description

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high quality data solutions.
• Optimize data storage and retrieval processes to ensure efficient data access and performance.
• Implement data governance and security best practices to protect sensitive information.
• Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability.
• Document data architecture, processes, and workflows for future reference and compliance.
• Stay updated with the latest industry trends and technologies related to data engineering and Snowflake.

Mandatory Skills:

• Strong expertise in Snowflake, including data modeling, performance tuning, and query optimization.
• Proficient in SQL and experience with data transformation and ETL tools.
• Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools.
• Solid understanding of data warehousing concepts and best practices.
• Ability to work with large datasets and perform data analysis.

Preferred Skills:

• Familiarity with programming languages such as Python or Java for data manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning concepts and frameworks.
• Experience with Agile methodologies and project management tools.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 7 10 years of experience in data engineering or a related role.
• Strong analytical and problem solving skills.
• Excellent communication and collaboration abilities.
• Proven ability to manage multiple projects and meet deadlines

Key Skills

Education

Bachelor's degree