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We are seeking a skilled Azure Data Engineer with deep expertise in data engineering technologies. The ideal candidate will have a strong foundation in data processing, cloud services, and data pipeline development to support our growing data needs.
Key Responsibilities:
- Design, implement, and manage scalable data pipelines on Azure, ensuring data integrity and performance.
- Utilize Databricks and Snowflake to perform data transformation, processing, and analytics.
- Conduct unit testing on developed code to ensure quality and reliability of data solutions.
- Collaborate with cross-functional teams in an Agile/Scrum environment to deliver robust data solutions.
Qualifications:
- **Certifications:** Certification in Databricks (preferred).
Technical Skills:
- Strong working knowledge in Snowflake (4/5 proficiency).
- Competence in performing unit testing for developed solutions (4/5 proficiency).
- Understanding of Agile and Scrum methodologies (3/5 proficiency).
Preferred Candidate Profile:
The ideal candidate will possess strong analytical skills, attention to detail, and the ability to work effectively in a collaborative team environment. If you meet these qualifications and are eager to join a dynamic team, we encourage you to apply!
Job ID: 106218173
Skills:
Azure Data Engineer
Skills:
Azure Sql, Azure Data Lake, Azure Databricks, Azure Data Factory
Skills:
.NET and SSAS, Azure Sql, Data Warehousing, Data Modeling, Azure Data Lake, Data Pipeline, Spark Streaming, Azure Functions, SQL Server, Python, ETL Processes
Skills:
Azure, Python, Sql
Skills:
Devops, Pyspark, Databricks, Python, P G frameworks like AI factory, Ultimate Pygentic, Azure ADF, ADLS2