- Data Engineer with Pyspark, Databricks skillset 8+ years of experience Data Engineering with min 5+ years hands on experience in Pyspark for data transformations.
- Sound Knowledge on - Azure Data Bricks, Azure Data Lake.
- Sound knowledge in Azure Data Bricks & Logic Apps
- Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview.
- Extensive knowledge on big data concepts like Hive, and spark framework.
- Should be able to write complex SQL queries.Sound understanding of DWH concepts.
- Strong hands-on experience on Python or Scala.
- Hands on experience on SSMS tool related concepts such as Index, store procedure and triggers.
- Hands on experience on Azure Data Factory.
- Should be able to coordinate independently with business stake holders and understand the business requirements Knowledge on DevOps and Agile methodologies-based projects, implement the
- This role demands an individual who can play both as Databrick Sr. Engineer+Coordinator.
- Data Engineer: 10 years (Preferred)
- Pyspark: 6 years (Preferred)
- data bricks: 6 years (Preferred)
- Azure: 6 years (Preferred)
Company
Location
Porto - Portugal
Job type
Full-Time
Python Job Details
Job Description:
Job Type: Contract
Contract length: 6 months
Salary: 250.00€ - 300.00€ per day
Experience:
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