Data Developer at AIMCo, enhancing data pipelines and architectures for efficient data utilization. Collaborating with senior developers to support data-driven decision-making across the organization.
Responsibilities
Support team in developing data pipelines to extract, load, and transform data from various sources into cloud-based data warehouses and data lakes
Learn how to implement data processing workflows that are highly optimized for their cloud-native environment
Collaborate with senior developers and data architects to design and implement scalable and reliable data architectures on cloud platforms
Assist with monitoring and maintaining the performance of cloud-based data warehouses and data pipelines, troubleshoot issues, and optimize query performance
Work with data analysts to understand data requirements and design data models that enable effective reporting and analysis
Provide support services to internal clients including root-cause analysis, debugging, training, and consultation services
Increase data awareness and quality by providing internal training
Requirements
Pursuing a bachelor’s degree in computer science, Software Engineering, or related field
Experience designing, developing, and maintaining data pipelines
Experience with Cloud Platform services such as Azure and Azure Data Factory
Demonstrated coding skills in Python, SQL and knowledge of software engineering principles around testing, code reviews, and deployment
Experience in data modeling and Data transformation technologies such as dbt will be an asset
Exposure to Business Intelligence visualization software like Microsoft Power BI, TIBCO Spotfire, Tableau, etc. is a desirable asset
Experience working with DevOps pipelines continuous integration/delivery, and automated testing (unit, functional, performance)
Database architecture, design, implementation, and operations experience is an asset
Able to present ideas to internal client groups and communicate effectively with both technical and non-technical stakeholders
Prioritization skills, acute attention to detail with demonstrated experience analyzing and implementing data quality solutions
Benefits
Inclusive, modern workplace prioritizing well-being
Opportunities for professional development and training
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