
Chief Data Systems Architect
6 days ago
Data engineers design and implement large-scale data systems to ensure seamless data flow.
- Develop real-time and close-to-real-time data integrations using Python, Java, or C#.
- Build Business Intelligence Dashboards and Data Models using Power BI, Azure SQL, and Azure Synapse Analytics.
The ideal candidate should have extensive knowledge of SQL, NoSQL databases, and big data processing frameworks like Hadoop and Spark.
Key Responsibilities:- Collaborate with cross-functional teams to identify business requirements and develop data solutions.
- Design, develop, and deploy data pipelines and workflows that meet business needs.
Required Skills & Qualifications:
A bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is preferred). 5+ years of experience in Data Engineering with expertise in designing, building, and maintaining large-scale data systems. Strong understanding of cloud-based data platforms, including Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning. Experience working with data visualization tools like Power BI and Tableau.
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