Data Engineer
4 weeks ago
At Nuviso Networks, we are seeking a highly skilled Data Engineer to join our team. Below are the key responsibilities and qualifications for this role.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Azure Databricks.
- ETL Process Implementation: Implement ETL processes to ingest and transform data from various sources.
- Data Management: Develop and maintain Delta Lake tables for efficient data storage and retrieval.
- Collaboration and Communication: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Azure Integration: Integrate Databricks workflows with other Azure services such as Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory.
Required Skills and Qualifications:
- 5+ years of experience in data engineering or a related field.
- Extensive experience with Azure Databricks.
- Strong proficiency in SQL for data manipulation and querying.
- Experience with Delta Lake and data versioning.
- Knowledge of Azure Data Lake Storage, Azure Data Factory, and other Azure services.
- Proficiency in programming languages such as Python or Scala.
Preferred Qualifications:
- Experience with Databricks MLflow for machine learning workflows.
- Knowledge of data warehousing concepts and solutions such as Snowflake or Azure Synapse Analytics.
- Familiarity with CI/CD pipelines and version control systems like Git.
If you have the passion for data engineering and a proven track record of delivering scalable data solutions, we encourage you to apply for this exciting opportunity at Nuviso Networks.
", "text": "At Nuviso Networks, we seek a highly skilled Data Engineer to join our team. Key responsibilities include designing and developing scalable data pipelines using Azure Databricks, implementing ETL processes, developing and maintaining Delta Lake tables, collaborating with data scientists and stakeholders, and integrating Databricks workflows with other Azure services. Required qualifications include 5+ years of experience in data engineering, extensive experience with Azure Databricks, and strong proficiency in SQL. Preferred qualifications include experience with Databricks MLflow, knowledge of data warehousing concepts, and familiarity with CI/CD pipelines."}-
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