
Chief Data Architect
2 days ago
We are seeking a talented and experienced Data Engineer to join our team. As a key member of our data analytics team, you will play a crucial role in designing, developing, and deploying scalable enterprise data solutions.
- Data Engineering Expertise:
- Design and develop robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
- Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
- Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for product development. Experience with Agile methodologies, DevOps, and security best practices is also essential.
Key Responsibilities:
- Data Pipeline Design & Development:
- Integration of structured and unstructured data from various sources into data lakes and warehouses.
- Build and maintain scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
- Cloud Platform Engineering:
- Manage environments, performance tuning, and configuration for cloud-native data solutions.
- Data Modeling & Architecture:
- Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
- Data Governance & Security:
- Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
- Collaboration & Agile Delivery:
- Work closely with cross-functional teams to translate requirements into technical solutions.
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