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Senior Cloud Data Engineer Jobs in Illinois

Cloud Engineer, Senior Jobs
By Sentinel At , Downers Grove, 60515
Experience with Datacenter migration and onboarding new customers
Experience with Cisco UCS server Infrastructure
Knowledge and configuration of storage technologies
Strong experience working with Windows and Linux Server
Experience with Microsoft Applications (AD/DNS/SQL)
Experience with automation scripting (powershell/Python)
Senior Data Engineer Jobs
By Egen At Illinois, United States
You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.
Design, documented, and led the development of end-to-end data product pipelines
Prepare data mapping, data flow, production support, and pipeline documentation for all projects.
You have productized real-time data pipelines through EDA leveraging Kafka or a similar service.
You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms
You have a strong background in distributed data warehousing with Snowflake, Redshift, Big Query, and/or Azure Data Warehouse.
Senior Data Engineer Jobs
By Prestige Staffing At Chicago, IL, United States
BS in Engineering, Information Technology, or equivalent work experience.
5+ years of extensive, hands-on experience designing and implementing distributed data architecture for BI and OLTP systems.
Design, implement, test, deploy, and maintain data engineering solutions and pipelines.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

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