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Azure Data Engineer
2 months ago
We are seeking a highly skilled Azure & Power BI Data Engineer to join our team at Procom Labs. As a key member of our digital ecosystem, you will play a critical role in designing and implementing comprehensive Azure solutions, including data ingestion, transformation, and storage.
Key Responsibilities- Design and develop data pipelines using Azure cloud management solutions.
- Develop and implement Power BI Semantic models and custom reporting.
- Design and develop Star Schema for Power BI Data Models.
- Design and manage data storage and data processing solutions in Azure.
- Integrate data sources and build data pipelines for data transformation and ingestion.
- Implement data security and governance measures in Azure.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Collaborate with data scientists and analysts to understand data needs and create effective data workflows.
- Create and maintain data storage solutions, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- 3-5 years of experience in a Data Engineering role.
- 3-4 years of proven experience building data pipelines using MSFT Azure tools and services.
- 2-3 years of experience in Power BI Modeling and Reporting.
- Azure Expertise: Proficiency in designing comprehensive Azure solutions, considering infrastructure, apps, data, security, and ETL Development.
- Database Management: Proficiency in managing database systems.
- Analytical Skills: Strong ability to analyze and solve complex problems.
- Data Modeling and Architecture: Expertise in designing data models and architectural frameworks.
- Programming Proficiency: Knowledge of SQL, Python, DAX & M is essential.
- Communication Skills: Effective interpersonal skills and the ability to work well in a team.
- IT Operations: Advanced knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance.
- Data Pipeline Construction: Experience in building data pipelines and applying data transformations for batch and real-time messaging systems.
- Data Source Evaluation: Ability to assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Data Transformation and Modeling: Ability to work on various aspects of data transformations and data modeling.
- Data Collection Enhancement: Experience in enhancing data collection procedures to include information relevant for building analytic systems.
- Best Practices: Ability to follow and document best practices and processes.
- Multitasking: Demonstrated ability to handle multiple assignments in parallel and meet demanding timelines.
- Cloud-Based Analytics Tools: Familiarity with Azure cloud-based analytics solutions.
- Work-life-balance: We empower our employees to build a responsible work-life style that reflects the needs of their unique life situations and still enables them to achieve maximum productivity.
- Agile environment: We work in a highly agile environment, where you will be working in scrum teams to deliver complex product offerings.
- Growth: You will have the ability to learn and evolve at the speed of technology. Our leadership team is focused on performance, growth, engagement, and connection and provides the resources needed to bring you to the next level.
- Continuous education/learning: We assist in the costs of continued education programs, courses, and certifications.
- Competitive compensation: We ensure that we are in tune with changing market rates. We offer yearly performance reviews, provide pay increases based on performance, and offer generous vacation packages.
- Fundraising activity: We have strong connections within our local communities and support many initiatives through employee-led events and fundraising activity.
