Cloud Data Engineer
2 weeks ago
Key Responsibilities :
- Design, develop, and implement data pipelines using Azure Data Factory, Databricks, and other Azure data services.
- Develop and maintain ETL/ELT processes for data ingestion, transformation, and loading into data warehouses and data lakes.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Develop and maintain data quality checks and ensure data accuracy and consistency.
- Optimize data pipelines for performance, scalability, and cost-effectiveness.
- Collaborate with data analysts, data scientists, and other stakeholders to ensure data availability and accessibility.
- Implement and maintain CI/CD pipelines for data pipelines using Azure DevOps.
- Troubleshoot and resolve data-related issues.
- Stay abreast of the latest advancements in cloud data engineering and best practices.
- Mentor and guide junior data engineers.
Minimum Qualifications :
Certifications :
- Azure Data Engineering Associate Certification (required)
- Databricks Data Engineering Certification (required)
Educational Requirements :
- Bachelor's degree in Computer Science or related field.
Experience :
- 7 years of hands-on experience in designing and developing distributed data pipelines.
- 5 years of experience in Azure data services.
5 years of experience with :
- Python
- SQL
- Object-Oriented Programming (OOP)
- ETL (Extract, Transform, Load) processes
- Unit testing
Skills :
- Data integration experience with APIs, web services, and queues.
- Proficient in Azure DevOps and CI/CD pipelines.
- Familiarity with agile methodologies, JIRA, and Confluence.
Desired Skills & Experience :
- Experience with Spark, Scala, and other big data technologies.
- Experience with data warehousing and data lake architectures.
- Experience with data security and privacy best practices.
- Experience with cloud-native technologies (containers, serverless computing).
- Experience with data visualization tools (Power BI, Tableau
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