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Azure Data Engineer
Pi Techniques
posted 9d ago
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Flexible timing
Key skills for the job
Job Description
Data Modelling: Design and implement data models, including measures and dimensions, to support business intelligence and analytical reporting requirements.
) Azure Data Factory Development: Create, manage, and optimize data pipelines in Azure Data Factory to extract, transform, and load (ETL) data from various sources into the data warehouse.
) Dimensional Modelling: Develop and implement dimensional models for data warehousing, ensuring efficient storage and retrieval of data for analytical purposes.
) ETL Processes: Build and maintain ETL processes within Azure Data Factory to transform and cleanse data before loading it into the data warehouse.
) Integration with Analytics Services: Collaborate with data scientists and analysts to integrate Azure Data Factory with analytics services such as Azure Synapse Analytics, Azure Databricks, and Power BI.
) Data Quality and Governance: Implement data quality checks and governance measures to ensure the accuracy, completeness, and consistency of data stored in the data warehouse.
) Performance Tuning: Monitor and optimize data warehouse performance, including query performance and data loading processes, to meet performance and scalability requirements.
) Security and Compliance: Implement security measures for data access and ensure compliance with data governance policies and regulatory requirements.
) Documentation: Create and maintain documentation for data models, ETL processes, and data warehouse configurations.
) Collaboration: Work closely with business analysts, data scientists, and other stakeholders to understand reporting requirements and deliver effective data solutions.
Qualifications
) Bachelor s degree in computer science, Information Technology, or a related field.
) Strong experience with Azure Data Factory, Azure Synapse Analytics, and other Azure data services.
) Proficiency in SQL and data querying languages.
) Expertise in dimensional modeling and data warehousing concepts.
) Hands-on experience with ETL processes and tools.
) Familiarity with analytics and reporting tools, such as Power BI.
) Knowledge of cloud computing concepts and services, especially within the Microsoft Azure ecosystem.
) Strong problem-solving and troubleshooting skills.
) Certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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