
Senior Data Engineer Position
3 days ago
Key Responsibilities:
- We are seeking a skilled data scientist to design, develop, and maintain our data pipelines and infrastructure.
- The ideal candidate will have expertise in designing, developing, and implementing data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation, and movement of data.
- This role involves developing and optimizing ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
- Azure Data Lake solutions need to be developed and maintained, ensuring efficient storage and retrieval of large datasets.
- Azure Synapse Analytics is used to build and manage scalable data warehousing solutions that enable advanced analytics and reporting.
- The integration of various data sources into MS-Fabric ensures data consistency, quality, and accessibility across different platforms.
- Data processing workflows and storage solutions need to be optimized to improve performance and reduce costs.
- Databases (SQL and NoSQL) management and optimization are crucial to support high-performance queries and data storage requirements.
- Data quality checks and monitoring are implemented to ensure accuracy and consistency of data.
- Collaboration with data scientists, analysts, and other stakeholders is necessary to understand data requirements and deliver actionable insights.
- Comprehensive documentation for data processes, pipelines, and infrastructure needs to be created and maintained.
Requirements:
- Mastery of data engineering concepts and technologies, including Azure Data Factory and Databricks.
- Expertise in ETL process development and optimization.
- Familiarity with Azure Data Lake and Synapse Analytics.
- Strong understanding of data processing workflows and storage solutions.
- Ability to optimize databases (SQL and NoSQL) for high-performance queries and data storage.
- Excellent problem-solving skills and attention to detail.
- Candidates should have strong analytical and communication skills.
Benefits:
- A competitive salary and benefits package.
- An opportunity to work on challenging projects and collaborate with experienced professionals.
- Professional growth and development opportunities.
Additional Information:
- This role offers an exciting opportunity to join a dynamic team and contribute to the company's success.
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