
Data Engineer-Data Platforms/Business Intelligence
Welcome to the world of IBM, where innovation and technology are at the forefront of everything we do. We are currently seeking a highly skilled Data Engineer to join our Data Platforms and Business Intelligence team. As a Data Engineer at IBM, you will play a crucial role in designing, developing, and maintaining our data platforms to support our business intelligence and analytics initiatives. We are looking for someone who is passionate about data, has a strong technical background, and is eager to drive forward our data-driven culture. If you are ready to be a part of a dynamic and collaborative team, read on to learn more about the qualifications for this exciting opportunity.
- Design and develop data platforms to support business intelligence and analytics initiatives.
- Maintain and optimize existing data platforms to ensure efficient and accurate data processing.
- Collaborate with cross-functional teams to understand data needs and develop solutions that meet business requirements.
- Identify and implement best practices for data storage, processing, and management.
- Develop and maintain data pipelines and integrations between various systems.
- Utilize various tools and technologies to extract, transform, and load data from multiple sources into data platforms.
- Ensure data quality and integrity throughout the data lifecycle.
- Monitor and troubleshoot data platforms to identify and resolve any issues.
- Keep up-to-date with industry trends and advancements in data engineering and recommend relevant technologies and techniques to enhance data processes.
- Communicate with stakeholders to understand their data needs and provide data solutions that meet their requirements.
- Train and mentor junior team members on data engineering best practices and technologies.
- Ensure compliance with data governance policies and procedures.
- Collaborate with other data engineers and data scientists to develop innovative solutions and drive a data-driven culture.
- Continuously improve and optimize data processes to increase efficiency and scalability.
- Proactively identify and address any potential data-related risks and issues.
Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.
Strong Proficiency In Programming Languages Such As Sql, Python, And Java.
Experience With Data Warehousing And Etl Tools, Such As Ibm Infosphere And Ibm Datastage.
Knowledge Of Business Intelligence Tools, Such As Ibm Cognos And Ibm Watson Analytics.
Familiarity With Cloud Computing Platforms, Such As Ibm Cloud And Aws.
Sql
Business Intelligence
Data Analysis
Data Modeling
Data warehousing
Data Visualization
Data integration
Database design
Data governance
ETL (Extract, Transform, Load)
Big
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer-Data Platforms/Business Intelligence is $100,000 to $150,000 per year. This may vary depending on factors such as location, experience, and the specific company or industry. Some companies may also offer additional benefits and bonuses for this role.
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International Business Machines Corporation is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries.

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