Cloud Data Architect and Engineer
1 week ago
We are seeking a highly skilled Cloud Data Architect and Engineer to join our team at IT Source Global. This role is responsible for designing and developing scalable, high-performance data processing and transformation pipelines using Apache Spark within Databricks.
About the RoleThis is an exceptional opportunity to lead big data pipeline design and development using Databricks and Azure Data Factory. You will be responsible for creating, scheduling, and orchestrating data workflows and pipelines in Azure Data Factory, as well as collaborating with data architects to design and implement data lakes, data warehouses, and data marts on Azure.
The ideal candidate will have experience building data integration solutions between on-premise and cloud systems, optimizing data pipelines for performance, and ensuring low-latency, fault tolerance, and scalability. They will also be responsible for implementing data quality and governance standards, ensuring data accuracy, consistency, and compliance with organizational policies.
Responsibilities- Design and develop big data pipelines and ETL/ELT workflows using Databricks and Azure Data Factory
- Develop scalable, high-performance data processing and transformation pipelines using Apache Spark within Databricks
- Create, schedule, and orchestrate data workflows and pipelines in Azure Data Factory
- Collaborate with data architects to design and implement data lakes, data warehouses, and data marts on Azure
- Build data integration solutions between on-premise and cloud systems
- Optimize data pipelines for performance, ensuring low-latency, fault tolerance, and scalability
- Implement data quality and governance standards, ensuring data accuracy, consistency, and compliance with organizational policies
- Collaborate with data scientists and analytics teams to provision and prepare data for advanced analytics, machine learning, and reporting needs
To succeed in this role, you should have:
- A strong understanding of big data technologies, including Apache Spark, Databricks, and Azure Data Factory
- Experience designing and developing scalable, high-performance data processing and transformation pipelines
- Expertise in data integration and ETL/ELT workflow design
- Strong collaboration and communication skills
- A passion for staying up-to-date with emerging trends and technologies in the field
We offer a competitive salary of $140,000 - $160,000 per year, depending on experience. In addition to a comprehensive benefits package, we provide opportunities for professional growth and development, as well as a collaborative and dynamic work environment.
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