
Data Architect
1 day ago
We are seeking a skilled professional to lead large-scale cloud migration projects. The ideal candidate will have extensive experience in data engineering and ETL development, with a strong background in migrating on-premise data systems to the cloud.
About the Role:
The Senior Cloud Engineer will be responsible for designing, developing, and deploying robust and scalable data pipelines for migrating data from various on-premise sources to cloud platforms. They will also serve as a subject matter expert in the project's core technologies, including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.
Key Responsibilities:
- Data Pipeline Development: Design and develop efficient data pipelines that integrate with cloud-based services.
- Technical Expertise: Stay up-to-date with emerging technologies and best practices in data engineering and cloud migration.
- Collaboration: Work closely with cross-functional teams to understand requirements and deliver successful outcomes.
- Mentorship: Provide guidance and technical support to junior engineers, helping them grow their skills and contribute effectively to the team.
Required Skills and Qualifications:
- Minimum of 10 years of experience in data engineering and ETL development.
- Extensive hands-on experience with Datastage and Azure Data Factory (ADF).
- Proven experience in Cloud Migration projects, with a strong understanding of the challenges and best practices involved in moving data to the cloud.
- In-depth knowledge of Databricks and its ecosystem, including notebooks, jobs, and Delta Lake.
- Expertise in PySpark for developing data processing applications on a distributed computing framework.
- Solid understanding of cloud platforms, preferably Microsoft Azure.
- Experience with SQL and database concepts.
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