Vacancy caducado!
- Bachelor degree in related field preferred.
- 7+ Years of Data Warehouse Experience with SQL, NoSQL technologies, advanced analytics architecture, deployment and support.
- 5+ years’ experience in leading data engineering/architecture, data mining and data modeling teams.
- 3+ years’ of hands on experience in SQL Server & related ETL/analytical tools (SSIS/SSAS)
- 2+ years’ of hands on experience in Azure/AWS & snowflake (DWaaS)
- Experience in maintaining cloud data lake, data warehouse systems and working on large scale data transformation using Apache Spark, Snowflake (DWAas) or other Big Data technologies & cloud technologies like Azure, AWS etc
- Agile experience is a must have
- Exposure to building data pipelines utilizing technologies and frameworks (e.g. Python, Scala, Java)
- Demonstrated strength in SQL, data architecture, data governance, data modeling, ETL development, and data warehousing
- Proven experience using APIs from applications like Google Analytics, salesforce etc
- Experience with cloud database administration, optimization and ETL pipelines
- Experience implementing database administration, data management processes, procedures, data quality management and decision support.
- Experience with hardware provisioning, forecasting hardware usage, and managing to a budget
- Knowledgeable in current technology and industry trends.
- Ability to translate complex technical topics into easily understandable concepts.
- Ideal candidates would be competent in: enterprise repository tools, data modeling tools, ETL data mapping tools, middleware services, and data profiling tools.
- Or an equivalent combination of education, training or experience
Vacancy caducado!