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Senior Cloud Data Engineer Jobs in Arizona

Data Engineer - Cloud And Data Services
By American Express At Phoenix, AZ, United States
Experience with design and development across one or more database management systems (e.g., Oracle, PostgreSQL, MongoDB, Couchbase)
Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures
Documents processing requirements inclusive of data and transaction volumes, scalability, security, and performance requirements
Understands the database requirements and translate into physical database design.
3+ years of overall design and development experience
Experience with Database query optimization and indexing
Senior Data Engineer Jobs
By Wells Fargo At Chandler, AZ, United States
Past Risk and Regulatory platform capabilities, functions, and processes experience and / or experience in a highly regulated environment.
Assemble large, complex data sets that meet key functional business requirements.
4+ years of Data engineering experience
4+ years of experience in any or all Big-Data stack such as Hadoop, Hive, Spark, python
4+ years of Relational data base experience
4 + years of ETL (Extract, Transform, Load) development experience using any Big-Data technology

Are you an experienced Cloud Data Engineer looking for a new challenge? We are looking for a Senior Cloud Data Engineer to join our team and help us build the next generation of cloud-based data solutions. You will be responsible for designing, developing, and deploying data pipelines, data warehouses, and data lakes to support our business objectives. If you have a passion for data engineering and a desire to work with cutting-edge technologies, this is the job for you!

Overview:

A Senior Cloud Data Engineer is responsible for designing, developing, and maintaining cloud-based data solutions. They work with a variety of data sources and technologies to ensure that data is stored, managed, and accessed in a secure and efficient manner. They must be able to analyze data, develop data models, and create data pipelines to ensure that data is available for use.

Detailed Job Description:

A Senior Cloud Data Engineer is responsible for designing, developing, and maintaining cloud-based data solutions. They must be able to analyze data, develop data models, and create data pipelines to ensure that data is available for use. They must be able to work with a variety of data sources and technologies, such as Hadoop, Spark, and NoSQL databases. They must be able to design and implement data architectures that are secure, scalable, and reliable. They must be able to troubleshoot data-related issues and develop solutions to address them. They must be able to work with stakeholders to ensure that data is used effectively.

What is Senior Cloud Data Engineer Job Skills Required?

• Knowledge of cloud-based data solutions
• Knowledge of data sources and technologies
• Knowledge of data modeling and data pipelines
• Knowledge of data architectures
• Knowledge of data security and scalability
• Knowledge of troubleshooting data-related issues
• Knowledge of data analysis
• Knowledge of data visualization
• Knowledge of data governance
• Knowledge of data warehousing
• Knowledge of data integration
• Knowledge of data quality
• Knowledge of data mining
• Knowledge of data engineering
• Knowledge of data architecture
• Knowledge of data security
• Knowledge of data privacy
• Knowledge of data analytics
• Knowledge of data management
• Knowledge of data warehousing
• Knowledge of data engineering
• Knowledge of data science
• Knowledge of data governance
• Knowledge of data visualization
• Knowledge of data quality
• Knowledge of data mining
• Knowledge of data integration
• Knowledge of data security
• Knowledge of data privacy
• Knowledge of data analytics
• Knowledge of data management
• Knowledge of data warehousing
• Knowledge of data engineering
• Knowledge of data science
• Knowledge of data governance
• Knowledge of data visualization
• Knowledge of data quality
• Knowledge of data mining
• Knowledge of data integration
• Knowledge of data security
• Knowledge of data privacy
• Knowledge of data analytics
• Knowledge of data management
• Knowledge