BlueCloud
Data Engineer
BlueCloud, Northlake, Texas, United States,
Data Engineer Job Responsibilities:
Develops and maintains scalable data pipelines and builds out integrations to support continuing increases in data volume and complexity.Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Writes unit/integration tests, contributes to engineering wiki, and documents work.Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.Works closely with a team of frontend and backend engineers, product managers, and analysts.Defines company data assets (data models), and ETL/ ELT jobs to populate data models.Designs data integrations and data quality framework.Designs and evaluates open source and vendor tools for data lineage.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Data Engineer Qualifications / Skills:
Knowledge of best practices and IT operations in an always-up, always-available serviceExperience with or knowledge of Agile Software Development methodologiesExcellent problem solving and troubleshooting skillsProcess oriented with great documentation skillsExcellent oral and written communication skills with a keen sense of customer serviceEducation, Experience, and Licensing Requirements:
BS or MS degree in Computer Science or a related technical field4+ years of Python or Java development experience4+ years of SQL Server SQL experience (No-SQL experience is a plus)4+ years of SSIS/ SSRS/ SSAS experience2+ years of Azure Data Factory, Blob Storage, Azure Data Warehouse experience4+ years of experience with schema design and dimensional data modelingAbility in managing and communicating data warehouse plans to internal clientsExperience designing, building, and maintaining data processing systems
Develops and maintains scalable data pipelines and builds out integrations to support continuing increases in data volume and complexity.Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Writes unit/integration tests, contributes to engineering wiki, and documents work.Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.Works closely with a team of frontend and backend engineers, product managers, and analysts.Defines company data assets (data models), and ETL/ ELT jobs to populate data models.Designs data integrations and data quality framework.Designs and evaluates open source and vendor tools for data lineage.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Data Engineer Qualifications / Skills:
Knowledge of best practices and IT operations in an always-up, always-available serviceExperience with or knowledge of Agile Software Development methodologiesExcellent problem solving and troubleshooting skillsProcess oriented with great documentation skillsExcellent oral and written communication skills with a keen sense of customer serviceEducation, Experience, and Licensing Requirements:
BS or MS degree in Computer Science or a related technical field4+ years of Python or Java development experience4+ years of SQL Server SQL experience (No-SQL experience is a plus)4+ years of SSIS/ SSRS/ SSAS experience2+ years of Azure Data Factory, Blob Storage, Azure Data Warehouse experience4+ years of experience with schema design and dimensional data modelingAbility in managing and communicating data warehouse plans to internal clientsExperience designing, building, and maintaining data processing systems