Nuviso Networks

3 months ago

Bengaluru, India Nuviso Networks Full time

1. Data Engineering & Development :

- Design, develop, and maintain scalable data pipelines using Azure Databricks.

- Implement ETL processes to ingest and transform data from various sources.

2. Data Management :

- Develop and maintain Delta Lake tables for efficient data storage and retrieval.

- Ensure data quality and integrity through rigorous testing and validation processes.

- Manage and optimize data workflows in Databricks for performance and cost-efficiency.

3. Collaboration & Communication :

- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.

- Participate in design and code reviews to maintain high development standards.

- Document data processes, pipeline designs, and best practices.

4. Azure Integration :

- Integrate Databricks workflows with other Azure services such as Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory.

- Monitor and troubleshoot data pipelines, ensuring reliable and consistent data availability.

5. Continuous Improvement :

- Stay up-to-date with the latest developments in Azure Databricks .

- Identify opportunities to improve data processing efficiency and reduce operational costs.

- Implement best practices for data engineering and contribute to the team's knowledge base.

Required Skills and Qualifications :

Technical Skills :

- 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.

Professional Skills :

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

- Ability to work in a fast-paced, dynamic environment.

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.

- Experience in Agile development methodologies.

(ref:hirist.tech)

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