Senior Azure Data Engineer @
5 days ago
- Solid hands-on experience in Azure Databricks, Spark, and PySpark
- Deep knowledge of Delta Lake and modern data lakehouse architectures
- Proficiency in data modeling and performance optimization techniques
- Experience with ADF (Azure Data Factory) and Azure Functions
- Strong skills in Python, SQL, and data serialization formats (Parquet, Avro, JSON)
- Familiarity with version control systems, especially Git
- Ability to work independently in a fully remote, distributed team
- Good communication skills in English
100% remote | Full-time | International environment
We are looking for an experienced Data Engineer with strong expertise in the Azure ecosystem to join a dynamic data team delivering scalable and high-performance data solutions. You'll play a key role in designing, building, and optimizing modern data pipelines and data lake architectures using cutting-edge cloud technologies.
,[Design and develop robust and efficient data pipelines using Azure Databricks, Spark, and PySpark, Work with Delta Lake architecture to manage structured and semi-structured data, Perform data modeling, transformation, and performance tuning for large datasets, Build and manage Azure Data Factory pipelines and Azure Functions for orchestrating workflows, Integrate various data formats such as Parquet, Avro, and JSON, Collaborate with cross-functional teams to understand data requirements and deliver optimal solutions, Use Git for version control and manage code in a collaborative environment, Write efficient Python and SQL code for data processing and querying, Ensure data quality, consistency, and reliability across the platform] Requirements: Azure Databricks, Spark, PySpark, ADF, Azure Data, Azure Data Factory, Python, SQL, JSON, Git, Communication skills-
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