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Azure Data Engineer
5 months ago
Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.
Responsibilities
• Design, create and maintain efficient and reliable data pipelines from data sources of
varying nature (streaming, batch processing, etc.) to identified data storage targets.
• Work in close relationship with data science teams and with business (data) analysts in
refining their data requirements for various data and analytics and their data
requirements.
• Documenta on of data lake, data warehouse, and database management procedures,
standards, policies, guidelines, and changes to record and reference for all database
management and changes.
• Develops and maintains data processing systems for preparing structured and
unstructured data for analytics modeling.
• Support, administer and maintain existing data lake and data warehouse Projects.
• Troubleshoot and resolve data lake, data warehouse, and database-related issues to
ensure systems are working as designed and expected.
Qualifications:
- 12-15 years relevant experience in Data Engineering/Architecture
- Strong background in AWS Technologies
- Excellent SQL scripting skills and knowledge about MS SQL Server including SSIS.
- Experience in Data Modelling, Design and Implementation
- Experience with Containerization technologies
- Experience with Big Data Technologies (ex. Apache, Spark, Hadoop, data lakes)
- AWS Certification