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Lead Cloud Data Engineer Jobs in Florida

Cloud Data Engineer - Healthcare
By Deloitte At Miami, FL, United States
Strong knowledge and hands-on experience in designing, developing, and deploying scalable solutions on the cloud platforms
5+ years' experience as a Cloud Data Engineer
5+ years' hands on experience in Snowpark, SnowSQL, Hadoop and PySpark
5+ years' experience in AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda and Cloud Formation.
5+ years' experience in Python with a focus on data processing and analytics
Bachelor's degree or equivalent experience
Lead Data Engineer Jobs
By Wells Fargo At Charlotte, NC, United States
Strong experience in relational databases, Database design, Data Model development, querying, data warehousing, ETL process, requirements gathering and/or decision support tools
Experience in Database Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Ability to present to multiple levels of management
3+ years of Tableau experience
Hands on experience in SQL, SAS, SSIS, SSRS and other tools to support data mining and analytics insights
Hands-on experience in SQL especially in SQL Server & Teradata environment

Are you a Cloud Data Engineer looking for an exciting new challenge? We are looking for an experienced Cloud Data Engineer to join our team and help us build the next generation of cloud-based data solutions. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of engineers to develop innovative solutions. If you are passionate about data engineering and have the skills to make a real impact, this is the job for you!

Overview Lead Cloud Data Engineer is responsible for designing, developing, and managing cloud-based data solutions. They are responsible for developing and maintaining data pipelines, data warehouses, and data lakes. They are also responsible for ensuring the security and scalability of the data solutions. Detailed Job Description Lead Cloud Data Engineers are responsible for designing, developing, and managing cloud-based data solutions. They are responsible for developing and maintaining data pipelines, data warehouses, and data lakes. They are also responsible for ensuring the security and scalability of the data solutions. Lead Cloud Data Engineers must have a deep understanding of cloud-based data solutions and be able to develop and maintain data pipelines, data warehouses, and data lakes. They must also be able to identify and resolve data issues and ensure the security and scalability of the data solutions. Job Skills Required
• Expertise in cloud-based data solutions
• Experience with data pipelines, data warehouses, and data lakes
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Ability to identify and resolve data issues
• Excellent communication and problem-solving skills
• Ability to work independently and in a team environment
Job Qualifications
• Bachelor’s degree in computer science, information technology, or a related field
• 5+ years of experience in data engineering
• Experience with cloud-based data solutions
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Excellent communication and problem-solving skills
Job Knowledge
• Expertise in cloud-based data solutions
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Knowledge of data warehousing and data lake technologies
• Knowledge of data integration and ETL processes
• Knowledge of SQL and NoSQL databases
Job Experience
• 5+ years of experience in data engineering
• Experience with cloud-based data solutions
• Experience with data pipelines, data warehouses, and data lakes
• Experience with data integration and ETL processes
• Experience with SQL and NoSQL databases
Job Responsibilities
• Design, develop, and manage cloud-based data solutions
• Develop and maintain data pipelines, data warehouses, and data lakes
• Ensure the security and scalability of the data solutions
• Identify and resolve data issues
• Monitor data performance and optimize data solutions
• Collaborate with other teams