Data Engineer - Senior
JobgetherRemotely
pythonsqlazureazure databricksdelta lakeazure data factoryazure synapsedata lake storage gen2
Job Description
📋 Description
- Design, develop, and maintain scalable data solutions for a large digital transformation.
- Build and optimize ETL/ELT pipelines from diverse sources to analytics-ready data.
- Develop cloud data solutions in Microsoft Azure (ADF, Databricks, Synapse, ADLS Gen2, SQL).
- Use Python and SQL for data transformations and workflows.
- Design data models supporting scalability, reliability, and data quality.
- Work with Azure Databricks and Delta Lake for data processing/storage.
🎯 Requirements
- At least 5 years of hands-on Python and SQL in data engineering.
- At least 3 years on Azure services (Storage, SQL, Synapse, networking).
- At least 3 years with Azure Databricks and Delta Lake.
- At least 3 years designing data solutions and analytics-ready datasets.
- At least 4 years of Git/version control experience.
- At least 1 year using AI tools for data tasks.
🎁 Benefits
- Fully remote, with option to work from Slovenia.
- Contribute to a large-scale digital initiative with data focus.
- Work with Azure cloud data ecosystem and common data tools.
- Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
- AI-powered engineering tools to enhance development and automation.
- Collaborate with multidisciplinary teams.
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