Big Data Analyst Jobs
By SGF Global At Houston, TX, United States
1+ years’ experience with analysis of big data using Spark
Show maturity in big data analytics by delivering solutions within time and budgetary constraints.
Perform other job-related duties or special projects as assigned.
Expert proficiency in SQL and Python
Expert proficiency in visualization and BI tools such as PowerBI, Tableau, Plotly
Proficiency with statistical inference and other statistical tools to extract and communicate insights from data
Big Brothers Big Sisters Of America - Program And Impact
By AmeriCorps At , Atlanta

Big Brothers Big Sisters of America - Program and Impact

2502 N Rocky Point Dr

Account Manager, Big Truck
By Briggs Industrial Solutions At New Braunfels, TX, United States
Thorough knowledge of supply and demand chain management fundamentals such as inbound raw material flow and outbound distribution
Enhance professional delivery by continuously increasing product and industry knowledge and interpersonal skills
Strong understanding of warehouse operations; shipping and receiving, put-away, order picking, replenishment, facilities management, throughput, cycle counting, transportation and logistics
Excellent Customer Service, communication and multi-tasking skills
Outstanding Sales Leadership and Customer Relationship Building Skills
Strong Financial focus, including capital buying process, cognitive skills, problem analysis, decision making and quantitative analysis

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