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Odi Data Engineer Jobs

Odi Communications Fellow Jobs
By U.S. House of Representatives At Washington DC-Baltimore Area, United States
Proficient in talent management systems, such as LinkedIn Recruiter, LinkedIn Learning, and Cornerstone
Part-Time – NTE 29 Hours Per Week
Monday Through Friday – 9am-3pm
Start date – May 2023
Creating graphics for social media
Assisting with social media updates
Oracle Obiee / Odi Developer
By Realign LLC At , Rockville, Md
Collaborate with business stakeholders to gather and document business requirements for reporting and data integration projects
Minimum of 4 years of experience in developing Oracle OBIEE / ODI solutions
Extensive knowledge of OBIEE Analytics, Repository (RPD) modeling, and security implementation
Proven experience in implementing ETL solutions using Oracle Data Integrator (ODI)
Experience with Oracle SQL Developer, Oracle BI Publisher, and Oracle Data Visualization is preferred
Excellent problem-solving and analytical skills

Are you an experienced Data Engineer looking for an exciting new challenge? We are looking for an Odi Data Engineer to join our team and help us build and maintain our data pipelines. You will be responsible for designing, developing, and maintaining data pipelines to ensure the accuracy and integrity of our data. You will also be responsible for developing and maintaining ETL processes to ensure the timely delivery of data to our customers. If you have a passion for data engineering and want to join a fast-paced and innovative team, then this is the job for you!

Overview:

An ODI Data Engineer is responsible for designing, developing, and maintaining data pipelines and data warehouses. They are responsible for creating and managing data models, data integration, and data quality. They must be able to work with a variety of data sources and technologies, including databases, ETL tools, and scripting languages.

Detailed Job Description:

An ODI Data Engineer is responsible for designing, developing, and maintaining data pipelines and data warehouses. They must be able to work with a variety of data sources and technologies, including databases, ETL tools, and scripting languages. They must be able to analyze data and create data models, data integration, and data quality. They must be able to design and implement data warehouses, data marts, and data lakes. They must be able to develop and maintain data pipelines, ETL processes, and data quality processes. They must be able to troubleshoot data issues and provide technical support.

What is Odi Data Engineer Job Skills Required?

• Knowledge of data modeling, data integration, and data quality
• Knowledge of databases, ETL tools, and scripting languages
• Ability to analyze data and create data models
• Ability to design and implement data warehouses, data marts, and data lakes
• Ability to develop and maintain data pipelines, ETL processes, and data quality processes
• Ability to troubleshoot data issues and provide technical support

What is Odi Data Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Experience with data modeling, data integration, and data quality
• Experience with databases, ETL tools, and scripting languages
• Knowledge of data warehousing and data lake concepts
• Knowledge of data security and privacy regulations
• Excellent problem-solving and communication skills

What is Odi Data Engineer Job Knowledge?

• Knowledge of data modeling, data integration, and data quality
• Knowledge of databases, ETL tools, and scripting languages
• Knowledge of data warehousing and data lake concepts
• Knowledge of data security and privacy regulations

What is Odi Data Engineer Job Experience?

• Experience with data modeling, data integration, and data quality
• Experience with databases, ETL tools, and scripting languages
• Experience with data warehousing and data lake concepts
• Experience with data security and privacy regulations

What is Odi Data Engineer Job Responsibilities?

• Design, develop, and maintain data pipelines and data warehouses
• Analyze data and create data models, data integration, and data quality