Chief Data Architect
1 day ago
This is a critical role in designing, developing, and maintaining data pipelines and infrastructure. As a key member of our team, you will work closely with data scientists, analysts, and other stakeholders to ensure timely and accurate data delivery.
Key Responsibilities:- Data Pipeline Development: Design, develop, and implement efficient data pipelines using Azure Data Factory and Databricks for seamless data ingestion, transformation, and movement.
- ETL Processes: Develop and optimize ETL processes for efficient data flow and transformation to meet business requirements.
- Data Lake Management: Manage and maintain scalable Azure Data Lake solutions for optimized storage and retrieval of large datasets.
- Data Warehousing: Collaborate with Azure Synapse Analytics to build and manage data warehousing solutions that enable advanced analytics and reporting capabilities.
- Data Integration: Integrate various data sources into MS-Fabric to ensure consistent, high-quality, and accessible data across platforms.
- Performance Optimization: Optimize data processing workflows and storage solutions to enhance performance and reduce costs.
- Strong technical skills with proficiency in Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake.
- Experience with Microsoft Fabric is a plus.
- Expertise in SQL and data warehousing concepts (DWH).
- Knowledge of data modeling, ETL processes, and data integration principles.
- Hands-on experience with ETL tools and frameworks such as Apache Airflow and Talend.
- Experience with relational databases and big data technologies is an added advantage.
- Excellent problem-solving abilities, attention to detail, and strong communication skills.
As a valued member of our team, you will enjoy competitive compensation, comprehensive benefits, and opportunities for growth and professional development.
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