
Scalable Cloud Data Architect
2 days ago
We are seeking a highly skilled Cloud Data Pipeline Engineer to lead the design and implementation of end-to-end data pipelines on Azure. As a key member of our team, you will be responsible for architecting, developing, and running scalable data solutions that drive business insights and visualization.
About the RoleThis is an exciting opportunity for someone with strong expertise in building cloud-based data architectures on Azure. You will collaborate closely with stakeholders to deliver actionable data-driven outcomes and work with cross-functional teams to ensure seamless integration.
Key responsibilities include:
- Designing and developing complete E2E data pipelines on Azure.
- Managing data validation, transformation, and warehousing processes.
- Collaborating with teams to deliver high-quality, scalable data-driven solutions.
To succeed in this role, you should have hands-on experience with PySpark, SQL, and Python for data processing, as well as strong problem-solving and debugging skills in Microsoft environments.
Required Skills and QualificationsThe ideal candidate will possess the following skills and qualifications:
- 6-10 years of experience in cloud data engineering.
- Strong expertise in Azure Data Factory (ADF), Databricks (ADB), and Data Lake (ADLS Gen2).
- Experience with ETL, data pipelines, data transformation, and data warehousing.
- Hands-on experience with Python for data processing.
- Strong problem-solving and debugging skills in Microsoft environments.
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