Data Engineer - Azure Databricks
Summary
Data Engineer building data pipelines and data models in a Microsoft Azure environment (Azure Databricks, Data Lake Storage, PySpark) for an energy-sector client, fully remote from Portugal. Works across the full data lifecycle alongside business and technical teams at GRiT Solutions.
There's no secret to become number-one, it takes willingness to improve and determination to pursue it. At GRiT®, it's all about the journey getting there. We trust talent and intelligence are important, yet passion and perseverance are key to achieving any goal.
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Are you GRiTTY enough to be part of our journey? Take the first step by applying now and let's create our future together.
Job Description:
We're looking for a Data Engineer to join a technical team on a data project in a Microsoft Azure environment, for an energy sector client. Fully remote. You'll help build pipelines and shape data models, working closely with both business and technical teams.
Must-Have:
- 2 to 5 years of experience in Data Engineering
- Solid knowledge of the Microsoft Azure ecosystem, with a focus on Azure Databricks
- Strong grasp of Azure Data Lake Storage, plus Parquet and Delta Lake formats
- Experience building ETL/ELT pipelines (Azure Data Factory, Databricks, PySpark notebooks)
- Knowledge of Data Lakehouse-oriented data modeling
- Experience across the full data solution lifecycle,ingestion, transformation, modeling and delivery
- Ability to design scalable, performance-oriented architectures
- Experience with agile methodologies (Scrum)
Would be great if you have:
- Knowledge of Scala to PySpark migration
- Knowledge of Azure Synapse
- Familiarity with JIRA and Confluence
What's in it for you:
- Continuous Training and Certifications
- GRiT Prizes: GRiT Baby Gift, GRiT Birthday Prize, GRiT Recommendation Prize
- Exclusive Partnerships/Discounts: (Gym, Health, Well-being, Lifestyle, Financial, etc…)
- Unique Events
- Welcoming Office (Fruit, Coffee, Pool Table, etc.)
- Competitive Compensation
- Pay for Performance
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