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Junior Azure Data Engineer
3 months ago
We are seeking a motivated and detail-oriented Junior Azure Data Engineer to join our dynamic team. The ideal candidate will have a foundational understanding of data engineering principles and a keen interest in advancing their skills within the Azure ecosystem. This role involves working closely with senior engineers and data scientists to develop, maintain, and optimize data pipelines and storage solutions on Microsoft Azure.
Responsibilities
Data Pipeline Development: Assist in the design, development, and maintenance of scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
Data Integration: Help integrate data from various sources (structured and unstructured) into the data warehouse, ensuring data quality and integrity.
Database Management: Support the management and optimization of Azure SQL Databases, Azure Data Lake, and other data storage solutions.
Data Transformation: Work with senior team members to implement ETL (Extract, Transform, Load) processes and ensure efficient data processing.
Monitoring and Troubleshooting: Monitor data pipelines and systems to identify and resolve issues promptly. Implement alerts and dashboards for proactive monitoring.
Documentation: Contribute to the documentation of data flows, data models, and system configurations.
Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
Learning and Development: Stay updated with the latest Azure data services and industry trends. Participate in training and certification programs as required.
Qualifications
Technical Skills:
- Basic understanding of data engineering concepts and methodologies.
- Familiarity with Azure services such as Azure Data Factory, Azure SQL Database, Azure Data Lake, and Azure Databricks.
- Experience with SQL and a basic understanding of database design and optimization.
- Knowledge of programming languages like Python or Scala is a plus.
- Understanding of ETL processes and data warehousing concepts.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Detail-oriented with a commitment to delivering high-quality work.
