Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
About the role
- Junior Data Engineer developing data pipelines and analytics solutions for Valmet. Collaborating with different business stakeholders to address complex data needs.
Responsibilities
- Designing and developing ELT/ETL pipelines in MS Fabric (Data Factory, Lakehouse/ OneLake) and Azure Synapse (Data Vault /SQL)
- Creating and maintaining stored SQL procedures, views, functions in Synapse and/or MS Fabric
- Integrating source systems and implementing reliable connectors and ingestion patterns from ERP and other business systems; manage schema changes and lineage
- Participating in requirement gathering, data discovery, data modelling, data warehouse and report development together with your team
- Translating business process related requirements into data requirements
- Hands-on support, maintenance and continuous development of the current reporting and analytics content
- Developing semantic models, dashboards and reports in Power BI
Requirements
- At least a Bachelor’s degree in a relevant field
- Solid SQL skills (procedures, optimization, troubleshooting)
- Hands on experience building data pipelines in MS Fabric and/or Azure Synapse or similar platform
- English fluency and strong communication skills.
- Experience in any of these is considered as a benefit: Python/ PySpark
- Experience with Power BI and Microsoft Fabric (Lakehouse, Direct Lake, semantic models)
- Exposure to ERP data (e.g. orders, deliveries, production, finance)
- Basics of DevOps/CI CD, Git
Benefits
- Opportunities for you to develop and deepen your expertise
- Comprehensive benefits
- Flexible hours and remote options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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