Data Engineer - Data Integration
IBM
Data Engineer - Data Integration
Job Description
Data Engineer - Data Integration
📋 Job Overview
The Data Engineer - Data Integration role at IBM involves building and maintaining the data architecture for the Digital Assistant, tracking and reporting key performance indicators, and developing business reports aligned with business objectives. The role requires a minimum of 3 years of experience in data science or data engineering and proficiency in data mining and visualization tools like PowerBI and Google Data Studio.
📍 Location: Cairo, EG (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Build and maintain the data architecture for the Digital Assistant, ensuring its robustness and scalability
- Track and report key performance indicators (KPIs) and business targets in an accessible, business-centric language
- Implement and manage tracking mechanisms for solution functionalities, enabling meaningful analysis of their performance
- Develop and maintain business reports for all solutions, aligning them with business objectives and ensuring ease of understanding and consumption by business users
- Provide valuable metrics and insights on the Digital Assistant's performance to stakeholders
- Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis
✅ Required Qualifications
- Minimum of 3 years of experience in data science and/or data engineering within a corporate environment
- Proven experience in data mining and data visualization
- Mandatory experience with PowerBI and Google Data Studio
- Prior experience with databases (NoSQL or Relational databases)
- Ability to identify and translate business opportunities from data insights
- Demonstrated ability to derive actionable items from large and complex datasets
- Strong domain knowledge in data science principles and methodologies
⭐ Preferred Qualifications
- Experience in the automotive sector
- Experience with JIRA or similar work tracking tools
- Proficiency in a query language (e.g., SQL)
- Google certification in 'Cloud Database Engineer', 'Generative AI Leader', 'Data Engineer', 'Data Practitioner'
- Familiarity with Natural Language Processing (NLP)
- Experience with Machine Learning (ML) concepts and applications
🛠️ Required Skills
- Data mining
- Data visualization
- PowerBI
- Google Data Studio
- Databases (NoSQL or Relational)
- Data science principles and methodologies
- JIRA or similar work tracking tools
- Query language (e.g., SQL)
- Natural Language Processing (NLP)
- Machine Learning (ML)
- Excellent communication skills
- Analytical mindset
- Proactive mindset
- Collaborative mindset
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an environment where everyone can thrive
- Flexible working patterns
- Equal-opportunity employment
Locations
- Cairo, EG, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data miningintermediate
- Data visualizationintermediate
- PowerBIintermediate
- Google Data Studiointermediate
- Databases (NoSQL or Relational)intermediate
- Data science principles and methodologiesintermediate
- JIRA or similar work tracking toolsintermediate
- Query language (e.g., SQL)intermediate
- Natural Language Processing (NLP)intermediate
- Machine Learning (ML)intermediate
- Excellent communication skillsintermediate
- Analytical mindsetintermediate
- Proactive mindsetintermediate
- Collaborative mindsetintermediate
Required Qualifications
- Minimum of 3 years of experience in data science and/or data engineering within a corporate environment (experience)
- Proven experience in data mining and data visualization (experience)
- Mandatory experience with PowerBI and Google Data Studio (experience)
- Prior experience with databases (NoSQL or Relational databases) (experience)
- Ability to identify and translate business opportunities from data insights (experience)
- Demonstrated ability to derive actionable items from large and complex datasets (experience)
- Strong domain knowledge in data science principles and methodologies (experience)
Preferred Qualifications
- Experience in the automotive sector (experience)
- Experience with JIRA or similar work tracking tools (experience)
- Proficiency in a query language (e.g., SQL) (experience)
- Google certification in 'Cloud Database Engineer', 'Generative AI Leader', 'Data Engineer', 'Data Practitioner' (experience)
- Familiarity with Natural Language Processing (NLP) (experience)
- Experience with Machine Learning (ML) concepts and applications (experience)
Responsibilities
- Build and maintain the data architecture for the Digital Assistant, ensuring its robustness and scalability
- Track and report key performance indicators (KPIs) and business targets in an accessible, business-centric language
- Implement and manage tracking mechanisms for solution functionalities, enabling meaningful analysis of their performance
- Develop and maintain business reports for all solutions, aligning them with business objectives and ensuring ease of understanding and consumption by business users
- Provide valuable metrics and insights on the Digital Assistant's performance to stakeholders
- Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an environment where everyone can thrive
- general: Flexible working patterns
- general: Equal-opportunity employment
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Answer 10 quick questions to check your fit for Data Engineer - Data Integration @ IBM.
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Data Engineer - Data Integration
IBM
Data Engineer - Data Integration
Job Description
Data Engineer - Data Integration
📋 Job Overview
The Data Engineer - Data Integration role at IBM involves building and maintaining the data architecture for the Digital Assistant, tracking and reporting key performance indicators, and developing business reports aligned with business objectives. The role requires a minimum of 3 years of experience in data science or data engineering and proficiency in data mining and visualization tools like PowerBI and Google Data Studio.
📍 Location: Cairo, EG (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Build and maintain the data architecture for the Digital Assistant, ensuring its robustness and scalability
- Track and report key performance indicators (KPIs) and business targets in an accessible, business-centric language
- Implement and manage tracking mechanisms for solution functionalities, enabling meaningful analysis of their performance
- Develop and maintain business reports for all solutions, aligning them with business objectives and ensuring ease of understanding and consumption by business users
- Provide valuable metrics and insights on the Digital Assistant's performance to stakeholders
- Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis
✅ Required Qualifications
- Minimum of 3 years of experience in data science and/or data engineering within a corporate environment
- Proven experience in data mining and data visualization
- Mandatory experience with PowerBI and Google Data Studio
- Prior experience with databases (NoSQL or Relational databases)
- Ability to identify and translate business opportunities from data insights
- Demonstrated ability to derive actionable items from large and complex datasets
- Strong domain knowledge in data science principles and methodologies
⭐ Preferred Qualifications
- Experience in the automotive sector
- Experience with JIRA or similar work tracking tools
- Proficiency in a query language (e.g., SQL)
- Google certification in 'Cloud Database Engineer', 'Generative AI Leader', 'Data Engineer', 'Data Practitioner'
- Familiarity with Natural Language Processing (NLP)
- Experience with Machine Learning (ML) concepts and applications
🛠️ Required Skills
- Data mining
- Data visualization
- PowerBI
- Google Data Studio
- Databases (NoSQL or Relational)
- Data science principles and methodologies
- JIRA or similar work tracking tools
- Query language (e.g., SQL)
- Natural Language Processing (NLP)
- Machine Learning (ML)
- Excellent communication skills
- Analytical mindset
- Proactive mindset
- Collaborative mindset
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an environment where everyone can thrive
- Flexible working patterns
- Equal-opportunity employment
Locations
- Cairo, EG, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data miningintermediate
- Data visualizationintermediate
- PowerBIintermediate
- Google Data Studiointermediate
- Databases (NoSQL or Relational)intermediate
- Data science principles and methodologiesintermediate
- JIRA or similar work tracking toolsintermediate
- Query language (e.g., SQL)intermediate
- Natural Language Processing (NLP)intermediate
- Machine Learning (ML)intermediate
- Excellent communication skillsintermediate
- Analytical mindsetintermediate
- Proactive mindsetintermediate
- Collaborative mindsetintermediate
Required Qualifications
- Minimum of 3 years of experience in data science and/or data engineering within a corporate environment (experience)
- Proven experience in data mining and data visualization (experience)
- Mandatory experience with PowerBI and Google Data Studio (experience)
- Prior experience with databases (NoSQL or Relational databases) (experience)
- Ability to identify and translate business opportunities from data insights (experience)
- Demonstrated ability to derive actionable items from large and complex datasets (experience)
- Strong domain knowledge in data science principles and methodologies (experience)
Preferred Qualifications
- Experience in the automotive sector (experience)
- Experience with JIRA or similar work tracking tools (experience)
- Proficiency in a query language (e.g., SQL) (experience)
- Google certification in 'Cloud Database Engineer', 'Generative AI Leader', 'Data Engineer', 'Data Practitioner' (experience)
- Familiarity with Natural Language Processing (NLP) (experience)
- Experience with Machine Learning (ML) concepts and applications (experience)
Responsibilities
- Build and maintain the data architecture for the Digital Assistant, ensuring its robustness and scalability
- Track and report key performance indicators (KPIs) and business targets in an accessible, business-centric language
- Implement and manage tracking mechanisms for solution functionalities, enabling meaningful analysis of their performance
- Develop and maintain business reports for all solutions, aligning them with business objectives and ensuring ease of understanding and consumption by business users
- Provide valuable metrics and insights on the Digital Assistant's performance to stakeholders
- Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an environment where everyone can thrive
- general: Flexible working patterns
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - Data Integration @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs