Data Engineer-Data Modeling
IBM
Data Engineer-Data Modeling
Job Description
Data Engineer-Data Modeling
📋 Job Overview
As a Data Engineer at IBM, you will work in IBM Consulting Client Innovation Centers, delivering technical expertise to clients globally. You'll focus on data gathering, storage, and processing, implementing predictive models, and designing enterprise search applications. Collaborating with diverse teams, you'll tackle data management challenges and contribute to data-driven decision making.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Implementing and validating predictive models and creating and maintaining statistical models with a focus on big data
- Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
- Working in an Agile, collaborative environment with scientists, engineers, consultants, and database administrators
- Building teams or writing programs to cleanse and integrate data, developing predictive or prescriptive models, and evaluating modeling results
✅ Required Qualifications
- 4+ years of experience in data modelling, data architecture
- Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
- Familiarity with different data models like relational, dimensional and NoSQL databases
- Understanding of business processes and how data supports business decision making
- Strong understanding of database design principles, data warehousing concepts, and data governance practices
🛠️ Required Skills
- Data modelling
- Data architecture
- ERwin
- IBM Infosphere Data Architect
- Database management systems
- Relational databases
- Dimensional databases
- NoSQL databases
- Business processes
- Database design principles
- Data warehousing concepts
- Data governance practices
- Analytical skills
- Problem-solving skills
- Attention to detail
- Team collaboration
- Project management
- SQL
- Predictive modeling
- Statistical modeling
- Machine learning
- Elasticsearch
- Splunk
- Agile methodology
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
Locations
- BANGALORE, IN, 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 modellingintermediate
- Data architectureintermediate
- ERwinintermediate
- IBM Infosphere Data Architectintermediate
- Database management systemsintermediate
- Relational databasesintermediate
- Dimensional databasesintermediate
- NoSQL databasesintermediate
- Business processesintermediate
- Database design principlesintermediate
- Data warehousing conceptsintermediate
- Data governance practicesintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Attention to detailintermediate
- Team collaborationintermediate
- Project managementintermediate
- SQLintermediate
- Predictive modelingintermediate
- Statistical modelingintermediate
- Machine learningintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Agile methodologyintermediate
Required Qualifications
- 4+ years of experience in data modelling, data architecture (experience)
- Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems (experience)
- Familiarity with different data models like relational, dimensional and NoSQL databases (experience)
- Understanding of business processes and how data supports business decision making (experience)
- Strong understanding of database design principles, data warehousing concepts, and data governance practices (experience)
Responsibilities
- Implementing and validating predictive models and creating and maintaining statistical models with a focus on big data
- Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
- Working in an Agile, collaborative environment with scientists, engineers, consultants, and database administrators
- Building teams or writing programs to cleanse and integrate data, developing predictive or prescriptive models, and evaluating modeling results
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
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Answer 10 quick questions to check your fit for Data Engineer-Data Modeling @ IBM.
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~2 Minutes
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Data Engineer-Data Modeling
IBM
Data Engineer-Data Modeling
Job Description
Data Engineer-Data Modeling
📋 Job Overview
As a Data Engineer at IBM, you will work in IBM Consulting Client Innovation Centers, delivering technical expertise to clients globally. You'll focus on data gathering, storage, and processing, implementing predictive models, and designing enterprise search applications. Collaborating with diverse teams, you'll tackle data management challenges and contribute to data-driven decision making.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Implementing and validating predictive models and creating and maintaining statistical models with a focus on big data
- Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
- Working in an Agile, collaborative environment with scientists, engineers, consultants, and database administrators
- Building teams or writing programs to cleanse and integrate data, developing predictive or prescriptive models, and evaluating modeling results
✅ Required Qualifications
- 4+ years of experience in data modelling, data architecture
- Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
- Familiarity with different data models like relational, dimensional and NoSQL databases
- Understanding of business processes and how data supports business decision making
- Strong understanding of database design principles, data warehousing concepts, and data governance practices
🛠️ Required Skills
- Data modelling
- Data architecture
- ERwin
- IBM Infosphere Data Architect
- Database management systems
- Relational databases
- Dimensional databases
- NoSQL databases
- Business processes
- Database design principles
- Data warehousing concepts
- Data governance practices
- Analytical skills
- Problem-solving skills
- Attention to detail
- Team collaboration
- Project management
- SQL
- Predictive modeling
- Statistical modeling
- Machine learning
- Elasticsearch
- Splunk
- Agile methodology
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
Locations
- BANGALORE, IN, 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 modellingintermediate
- Data architectureintermediate
- ERwinintermediate
- IBM Infosphere Data Architectintermediate
- Database management systemsintermediate
- Relational databasesintermediate
- Dimensional databasesintermediate
- NoSQL databasesintermediate
- Business processesintermediate
- Database design principlesintermediate
- Data warehousing conceptsintermediate
- Data governance practicesintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Attention to detailintermediate
- Team collaborationintermediate
- Project managementintermediate
- SQLintermediate
- Predictive modelingintermediate
- Statistical modelingintermediate
- Machine learningintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Agile methodologyintermediate
Required Qualifications
- 4+ years of experience in data modelling, data architecture (experience)
- Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems (experience)
- Familiarity with different data models like relational, dimensional and NoSQL databases (experience)
- Understanding of business processes and how data supports business decision making (experience)
- Strong understanding of database design principles, data warehousing concepts, and data governance practices (experience)
Responsibilities
- Implementing and validating predictive models and creating and maintaining statistical models with a focus on big data
- Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
- Working in an Agile, collaborative environment with scientists, engineers, consultants, and database administrators
- Building teams or writing programs to cleanse and integrate data, developing predictive or prescriptive models, and evaluating modeling results
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer-Data Modeling @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs