
Chief Data Pipeline Architect
12 hours ago
We are seeking a highly skilled Data Engineer to play a critical role in designing, developing, and maintaining data pipelines and infrastructure.
Key Responsibilities:- Develop and implement data pipelines using Azure Data Factory and Databricks.
- Create and optimize ETL processes to ensure efficient data flow and transformation.
- Design and maintain Azure Data Lake solutions for efficient storage and retrieval of large datasets.
- Collaborate with Azure Synapse Analytics to build scalable data warehousing solutions.
- Integrate various data sources into MS-Fabric for consistent data quality and accessibility.
- Optimize data processing workflows and storage solutions to improve performance and reduce costs.
- Analyze and manage databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
- Implement data quality checks and monitoring to ensure accuracy and consistency of data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
- 2-4 years of experience in data engineering or a related field.
- Proficiency with Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake.
- Strong SQL skills and experience with data warehousing concepts.
- Knowledge of data modeling, ETL processes, and data integration.
- Experience with relational databases and ETL tools and frameworks.
- Familiarity with cloud platforms, big data technologies, and data visualization tools.
- Excellent verbal and written communication skills and ability to explain technical concepts to non-technical stakeholders.
- Bachelor's degree in computer science, engineering, mathematics, or a related field.
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