Big Data Sdet Jobs
By ASCENDING At , Remote
Work with team, peers and management to identify objectives and set priorities.
Minimum 4 years of proven professional experience working in the IT industry.
Experience in using various data modeling techniques and their appropriate usage in data integration.
Strong knowledge of database structure systems and data mining.
Experience with cloud based Big Data technologies.
Must be very strong with SQL and have had extensive experience structuring complex SQL queries.
Big Data Healthcare Head Of Operations
By Fifth Third Bank At , Remote $116,900 - $234,300 a year
5+ years of proven leadership/supervisor experience. Management of exempt managers and employees preferred.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
Bachelor's degree with an emphasis on Business Administration &/or Finance or equivalent work experience. MBA preferred
Ability to work in a team environment, presenting a professional image and commanding the respect of staff, peers, and senior management.
Leads and manages a team responsible for client implementations, support, and operations.
Ensure compliance with Bank compliance and regulatory requirements
Big Data Architect Jobs
By Leidos At , Remote $118,300 - $245,700 a year
Architecture Framework knowledge and certification
ITIL foundations certification with Enterprise IT experience using ITIL 4
Experience developing strategic roadmaps for IT services and providing technical oversight to ensure developed solutions, satisfy customer and business requirements
Key activities for this role will include requirement definition, architecture development, analysis of alternatives / trade-off studies, technical planning, and design.
Lead engineering assessments and recommendations for selection of investments for a range of large scale COTS solutions across various vendor offerings.
3+ years of experience supervising or leading technical projects and teams

Are you looking for an exciting opportunity to work with Big Data? We are looking for a Big Data Engineer to join our team and help us develop and maintain our data infrastructure. You will be responsible for designing, developing, and maintaining data pipelines, data warehouses, and data lakes. You will also be responsible for developing and optimizing data models and ETL processes. If you have a passion for data and a desire to work with cutting-edge technologies, this is the job for you!

Overview A Big Data Engineer is responsible for designing, developing, and managing the architecture of large-scale data processing systems. They are responsible for the development of data pipelines and data storage solutions, as well as the integration of data from multiple sources. They must be able to analyze data and develop algorithms to process it. Detailed Job Description A Big Data Engineer is responsible for designing, developing, and managing the architecture of large-scale data processing systems. They must be able to analyze data and develop algorithms to process it. They must be able to design and develop data pipelines and data storage solutions, as well as the integration of data from multiple sources. They must be able to develop and maintain data models and data warehouses. They must also be able to develop and maintain data security and privacy policies. Job Skills Required
• Knowledge of big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
• Knowledge of data warehousing and data modeling
• Knowledge of data security and privacy policies
• Knowledge of data integration techniques
• Knowledge of data mining and machine learning algorithms
• Knowledge of scripting languages such as Python and R
• Knowledge of cloud computing technologies
• Ability to analyze and interpret data
• Ability to design and develop data pipelines
• Ability to troubleshoot and debug data processing systems
• 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 or a related field
• Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
• Experience with data warehousing and data modeling
• Experience with data security and privacy policies
• Experience with data integration techniques
• Experience with data mining and machine learning algorithms
• Experience with scripting languages such as Python and R
• Experience with cloud computing technologies
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
Job Knowledge
• Knowledge of big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
• Knowledge of data warehousing and data modeling
• Knowledge of data security and privacy policies
• Knowledge of data integration techniques
• Knowledge of data mining and machine learning algorithms
• Knowledge of scripting languages such as Python and R
• Knowledge of cloud computing technologies
Job