- Skelbimas
- Atlygis/Miestas
- Apie įmonę
Job description
We are looking for data engineer who has specialized his/ or her skills in creating software solutions around Modern Data Platform using Azure Technologies.
Key responsibilities:
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Design and build self-service modern data pipelines (batch) and data streams (live).
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Experience working with multi-disciplinary teams in a DevOps / DataOps environment.
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Implement effective data security, data lineage, metrics and monitoring processes.
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Working together with the data scientist deploying machine learning as scalable API services as per data architecture strategy.
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Expose data to end users using Power BI, Azure API Apps or experience.
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Understands the Data Management and governance and operation knowledge.
Requirements
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From 5+ years’ Experience in Data Engineering (with previous exposure/ hands on experience in Microsoft data related technology).
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From 2 years’ experience working with Azure Data platforms (Data Factory, Synapse, …).
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Experience with SQL (T-SQL is an advantage).
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Fluent in English language.
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Strong communication skills (spoken and written).
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Good analytical and problem-solving skills.
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Experience with deployment orchestration and configuration management tools.
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Experience with Azure devops or similar way of working.
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Being able to work both independently and as part of a team is very important.
Skills that would be an advantage:
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Experience with Python and SQL scripting.
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Knowledge of extracting data from SAP ERP using SAP Extractors and Odata protocol.
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Knowledge of working with Azure Stream Analytics, Even Hub and Kafka.
Company offers
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Knowledge sharing & passionate colleagues.
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A dynamic work atmosphere in a well-established global company with development opportunities.
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Flexibility and good balance between work & private life.
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A varied and innovative work with responsibilities.
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An evolving salary based on your experience.