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Job Description & How to Apply Below
Responsibilities
- Develop and maintain data warehouses that consolidate data from multiple sources.
- Optimize data storage and retrieval processes to enhance performance and scalability.
- Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
- Integrate disparate data sources including databases, APIs, and third-party services.
- Design and develop data pipelines to automate data collection and integration.
- Monitor and troubleshoot data integration workflows to ensure reliability and performance.
- Utilize visualization tools such as Tableau, Power BI, or Looker to create dashboards and reports.
- Translate complex data sets into clear and actionable insights for stakeholders.
- Collaborate with business units to understand data visualization needs and deliver solutions.
- Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions.
- Document processes, data flows, and technical specifications for reference and training.
- Communicate project status, progress, and issues to management and stakeholders.
- Proficiency in SQL and experience with database management systems.
- Strong knowledge of ETL processes and data pipeline development.
- Familiarity with programming languages such as Python, Java, or Scala.
- Understanding of data modeling, data architecture, and data governance principles.
- Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience using visualization tools like Tableau, Power BI, or Looker.
- Excellent problem‑solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Strong organizational and time‑management skills.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Experience- Minimum of eight years of experience in cloud data management, data warehousing, and data integration in a Microsoft data and analytics stack.
- Preferred knowledge of machine learning and artificial intelligence.
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