Cloud Data Engineer
3 weeks ago
We are seeking a highly skilled Cloud Data Engineer to join our dynamic team at Cloudforce. As a key member of our Engineering department, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes on Microsoft Fabric and utilizing Azure data & analytics resources.
Responsibilities:- Design and develop scalable data pipelines and ETL processes on Microsoft Fabric and utilizing Azure data & analytics resources.
- Design and implement data integration processes to extract, transform, and load (ETL) data from various sources.
- Create data processing workflows and pipelines to support data analytics, machine learning, and other analytic-driven applications.
- Implement CI/CD pipelines for automating data engineering processes using Azure DevOps or GitHub.
- Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions.
- Set up monitoring solutions using Azure Monitor, Azure Log Analytics, Fabric Data Activator, and other Azure solutions to track the performance of data pipelines or analytics workflows.
- Set up and configure various Microsoft security solutions to monitor and alert security and compliance best practices throughout the data & analytics lifecycle.
- Conduct thorough testing and validation of data solutions to ensure the accuracy, completeness, and reliability of the delivered data products.
- Implement, optimize, and maintain cost-effective data & analytics solutions by leveraging Azure Cost Management tools and best practices.
- Stay updated on industry regulations and implement necessary changes to maintain compliance.
- 3+ years of experience with data engineering, particularly in Azure and/or Microsoft Fabric.
- Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage.
- Experience with Microsoft SQL Server tools (SSIS, SSRS, and SSAS).
- Experience with data engineering processes using Apache Spark, Python, R, T-SQL, or KQL.
- Experience with generating Semantic Models.
- Familiarity with Microsoft Power BI for data visualization.
- Passion for staying updated on industry trends and emerging data engineering and cloud computing technologies.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Cloudforce is a spirited team defined by the shared values of excellence, growth, teamwork, passion, giving back, and glee. As technophiles, we thrive on the latest developments in our chosen field of expertise: cloud computing. As humans, we are driven by the opportunities to make life better through the thoughtful application of technology.
We offer our employees unique opportunities to learn, grow, and be part of a team that believes in more than just typical nine-to-five activities. We've built a culture around openness, inclusiveness, giving back to the community, team building, and growth. Whether it be through company outings, annual trips, or our frequent charitable activities, we're serious about making each individual feel like they're part of our team.
We are an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.
We offer a comprehensive benefits package, including medical, dental, life, and short-term disability insurance, paid parental leave, PTO, and more. Check out our careers page for more details.
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