Data Engineer-Data Warehouse
IBM
Data Engineer-Data Warehouse
Job Description
Data Engineer-Data Warehouse
📋 Job Overview
As a Data Engineer at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves harnessing data to uncover insights, designing data management systems, and implementing predictive models using big data technologies. You will collaborate in an agile environment to drive innovation and solve complex data challenges.
📍 Location: Hyderabad, IN (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Design and implement efficient database schemas and data models using Teradata
- Optimize SQL queries and stored procedures for performance
- Perform database administration tasks including installation, configuration, and maintenance of Teradata systems
- Implement and validate predictive models and maintain statistical models focused on big data
- Design and implement enterprise search applications such as Elasticsearch and Splunk
- Work in an Agile environment, collaborating with diverse teams to bring analytical rigor to challenges
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- Experience with data warehousing and ETL processes
- Proficiency in SQL and database management
- Experience with big data technologies and machine learning
⭐ Preferred Qualifications
- Master's degree in a relevant field
- Certifications in data engineering or related technologies
- Experience with cloud platforms like AWS, Azure, or Google Cloud
🛠️ Required Skills
- Teradata
- SQL
- Elasticsearch
- Splunk
- Big Data
- Machine Learning
- Statistical Modeling
- Agile Methodology
- Teamwork
- Verbal and Written Communication
- Analytical Skills
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Commitment to diversity and inclusion
- Equal opportunity employment
Locations
- Hyderabad, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Teradataintermediate
- SQLintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Big Dataintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- Agile Methodologyintermediate
- Teamworkintermediate
- Verbal and Written Communicationintermediate
- Analytical Skillsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- Experience with data warehousing and ETL processes (experience)
- Proficiency in SQL and database management (experience)
- Experience with big data technologies and machine learning (experience)
Preferred Qualifications
- Master's degree in a relevant field (experience)
- Certifications in data engineering or related technologies (experience)
- Experience with cloud platforms like AWS, Azure, or Google Cloud (experience)
Responsibilities
- Design and implement efficient database schemas and data models using Teradata
- Optimize SQL queries and stored procedures for performance
- Perform database administration tasks including installation, configuration, and maintenance of Teradata systems
- Implement and validate predictive models and maintain statistical models focused on big data
- Design and implement enterprise search applications such as Elasticsearch and Splunk
- Work in an Agile environment, collaborating with diverse teams to bring analytical rigor to challenges
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Commitment to diversity and inclusion
- general: Equal opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer-Data Warehouse @ IBM.
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~2 Minutes
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Data Engineer-Data Warehouse
IBM
Data Engineer-Data Warehouse
Job Description
Data Engineer-Data Warehouse
📋 Job Overview
As a Data Engineer at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves harnessing data to uncover insights, designing data management systems, and implementing predictive models using big data technologies. You will collaborate in an agile environment to drive innovation and solve complex data challenges.
📍 Location: Hyderabad, IN (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Design and implement efficient database schemas and data models using Teradata
- Optimize SQL queries and stored procedures for performance
- Perform database administration tasks including installation, configuration, and maintenance of Teradata systems
- Implement and validate predictive models and maintain statistical models focused on big data
- Design and implement enterprise search applications such as Elasticsearch and Splunk
- Work in an Agile environment, collaborating with diverse teams to bring analytical rigor to challenges
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- Experience with data warehousing and ETL processes
- Proficiency in SQL and database management
- Experience with big data technologies and machine learning
⭐ Preferred Qualifications
- Master's degree in a relevant field
- Certifications in data engineering or related technologies
- Experience with cloud platforms like AWS, Azure, or Google Cloud
🛠️ Required Skills
- Teradata
- SQL
- Elasticsearch
- Splunk
- Big Data
- Machine Learning
- Statistical Modeling
- Agile Methodology
- Teamwork
- Verbal and Written Communication
- Analytical Skills
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Commitment to diversity and inclusion
- Equal opportunity employment
Locations
- Hyderabad, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Teradataintermediate
- SQLintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Big Dataintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- Agile Methodologyintermediate
- Teamworkintermediate
- Verbal and Written Communicationintermediate
- Analytical Skillsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- Experience with data warehousing and ETL processes (experience)
- Proficiency in SQL and database management (experience)
- Experience with big data technologies and machine learning (experience)
Preferred Qualifications
- Master's degree in a relevant field (experience)
- Certifications in data engineering or related technologies (experience)
- Experience with cloud platforms like AWS, Azure, or Google Cloud (experience)
Responsibilities
- Design and implement efficient database schemas and data models using Teradata
- Optimize SQL queries and stored procedures for performance
- Perform database administration tasks including installation, configuration, and maintenance of Teradata systems
- Implement and validate predictive models and maintain statistical models focused on big data
- Design and implement enterprise search applications such as Elasticsearch and Splunk
- Work in an Agile environment, collaborating with diverse teams to bring analytical rigor to challenges
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Commitment to diversity and inclusion
- general: Equal opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer-Data Warehouse @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs