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Data Engineer
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MidFull-time·B2B
#351894·Dodano wczoraj·0
Źródło: emagineTech Stack / Keywords
RESTMicrosoft AzureCloudSQLGitCI/CDAzureDatabricks
Firma i stanowisko
This is a data-focused project built around Microsoft Azure technologies in the Consumer Packaged Goods (CPG) industry. The role is based in the Gdańsk office with a hybrid working model requiring at least one day per week onsite.
Wymagania
- 2+ years of experience in Data Engineering or a similar role.
- Hands-on knowledge of Azure data services and technologies, such as Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, or Azure Data Explorer.
- Good understanding of Microsoft Azure as a platform.
- Experience with analytics, databases, and data systems.
- Strong SQL skills and experience with relational databases.
- Python knowledge (advanced proficiency not required).
- Familiarity with data modelling techniques and data pipeline technologies.
- Experience with Git and branching strategies.
- Knowledge of CI/CD pipeline development and deployments.
Nice to have:
- Familiarity with streaming data pipelines, messaging queues, and serverless components.
- Experience with Agile and DevOps methodologies.
- Experience with Infrastructure as Code, especially Terraform.
- Experience with ServiceNow.
- Experience with Collibra / Data Navigator.
Obowiązki
- Build and maintain end-to-end data pipelines, including ingestion, transformation, and delivery.
- Implement enhancements to improve the functionality and performance of supported data solutions.
- Work closely with internal business stakeholders to gather requirements, align expectations, and support delivery.
- Lead and coordinate UAT and PAT activities together with business stakeholders.
- Share and document knowledge for the team and future project members.
- Provide technical feedback and suggest improvements to operational practices.
- Work with Git, branching strategies, CI/CD pipelines, and deployment processes.
- Support a collaborative, self-managing team environment.
Oferta
- Opportunity to work on a data engineering project using Azure-based technologies.
- Role combining technical data engineering tasks with close business collaboration.
- Work on end-to-end data pipelines and cloud data solutions.
- Collaborative environment where knowledge sharing and process improvement are valued.
- Possibility to contribute to both technical delivery and business-facing testing activities.
emagine
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