Senior Data Engineer
Не указаноУдаленно
SeniorRemoteEdTechКачество текста 1/5EN B2+
Data EngineerSQLAzure28д
Responsibilities:
• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce. io, Airbyte, SQL Server/SSIS, with some utilization of Azure Data Factory.
• Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting.
• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers.
• Collaborate with teams using Jira for task tracking and GitHub for code repository management.
• Ensure reliable ETL processes, data transformations, and data integration workflows.
• Enhance data modeling practices and address weaknesses in dimensional modeling.
Qualifications:
• Hands-on experience with Snowflake, Coalesce. io, Airbyte, SQL Server/SSIS, and Azure Data Factory.
• Strong understanding of Medallion architecture and dimensional data modeling.
• Practical experience in building ETL pipelines and transforming data for analytics.
• Familiarity with Jira and GitHub for collaborative work.
• Strong analytical and problem-solving skills, with the ability to collaborate across teams.
• Minimum 4-hour overlap with US Eastern Time.
Preferred Qualifications:
• Exposure to Power BI (optional).
• Experience with Salesforce data integration.
• Background in higher education or ed-tech domains.
• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce. io, Airbyte, SQL Server/SSIS, with some utilization of Azure Data Factory.
• Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting.
• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers.
• Collaborate with teams using Jira for task tracking and GitHub for code repository management.
• Ensure reliable ETL processes, data transformations, and data integration workflows.
• Enhance data modeling practices and address weaknesses in dimensional modeling.
Qualifications:
• Hands-on experience with Snowflake, Coalesce. io, Airbyte, SQL Server/SSIS, and Azure Data Factory.
• Strong understanding of Medallion architecture and dimensional data modeling.
• Practical experience in building ETL pipelines and transforming data for analytics.
• Familiarity with Jira and GitHub for collaborative work.
• Strong analytical and problem-solving skills, with the ability to collaborate across teams.
• Minimum 4-hour overlap with US Eastern Time.
Preferred Qualifications:
• Exposure to Power BI (optional).
• Experience with Salesforce data integration.
• Background in higher education or ed-tech domains.