Data Engineer - Entry Level (Baton Rouge, LA)
IBM
Data Engineer - Entry Level (Baton Rouge, LA)
Job Description
Data Engineer - Entry Level (Baton Rouge, LA)
📋 Job Overview
As an entry level Data Engineer at IBM in Baton Rouge, LA, you will work within the IBM Consulting Associates Program to harness data for insightful analysis. You'll collaborate with diverse teams to manage data systems, implement predictive models, and develop enterprise search applications, contributing to client innovation across various industries.
📍 Location: BATON ROUGE, US (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Contribute to data gathering, storage, and both batch and real-time processing
- Collaborate with teams to decide on data management systems and identify crucial data for analysis
- Implement and validate predictive models and maintain statistical models
- Design and implement enterprise search applications like Elasticsearch and Splunk
- Work in an Agile environment with scientists, engineers, consultants, and database administrators
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
✅ Required Qualifications
- Bachelor's degree or equivalent experience
- Basic understanding or experience with predictive/prescriptive modeling skills
⭐ Preferred Qualifications
- Experience with big data technologies
- Experience in an Agile environment
🛠️ Required Skills
- Statistical and machine learning techniques
- Programming languages like Java, Python, Scala
- ETL tools and/or data integration, or federation tools
- Linux, SQL, Python, Spark, Hadoop, Java
- Teamwork
- Excellent verbal and written communication skills
- Ability to communicate with internal and external clients
- Ability to ask business and industry questions
- Ability to communicate results to technical and non-technical audiences
🎁 Benefits & Perks
- Professional development through ongoing learning and mentorship
- Career advancement opportunities
- Culture of coaching and continuous personal growth
- Environment that embraces unique skills and experience
- Encouragement to be courageous and experiment daily
- Continuous trust and support
Locations
- BATON ROUGE, US, 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
- Statistical and machine learning techniquesintermediate
- Programming languages like Java, Python, Scalaintermediate
- ETL tools and/or data integration, or federation toolsintermediate
- Linux, SQL, Python, Spark, Hadoop, Javaintermediate
- Teamworkintermediate
- Excellent verbal and written communication skillsintermediate
- Ability to communicate with internal and external clientsintermediate
- Ability to ask business and industry questionsintermediate
- Ability to communicate results to technical and non-technical audiencesintermediate
Required Qualifications
- Bachelor's degree or equivalent experience (experience)
- Basic understanding or experience with predictive/prescriptive modeling skills (experience)
Preferred Qualifications
- Experience with big data technologies (experience)
- Experience in an Agile environment (experience)
Responsibilities
- Contribute to data gathering, storage, and both batch and real-time processing
- Collaborate with teams to decide on data management systems and identify crucial data for analysis
- Implement and validate predictive models and maintain statistical models
- Design and implement enterprise search applications like Elasticsearch and Splunk
- Work in an Agile environment with scientists, engineers, consultants, and database administrators
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
Benefits
- general: Professional development through ongoing learning and mentorship
- general: Career advancement opportunities
- general: Culture of coaching and continuous personal growth
- general: Environment that embraces unique skills and experience
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - Entry Level (Baton Rouge, LA) @ IBM.
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Data Engineer - Entry Level (Baton Rouge, LA)
IBM
Data Engineer - Entry Level (Baton Rouge, LA)
Job Description
Data Engineer - Entry Level (Baton Rouge, LA)
📋 Job Overview
As an entry level Data Engineer at IBM in Baton Rouge, LA, you will work within the IBM Consulting Associates Program to harness data for insightful analysis. You'll collaborate with diverse teams to manage data systems, implement predictive models, and develop enterprise search applications, contributing to client innovation across various industries.
📍 Location: BATON ROUGE, US (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Contribute to data gathering, storage, and both batch and real-time processing
- Collaborate with teams to decide on data management systems and identify crucial data for analysis
- Implement and validate predictive models and maintain statistical models
- Design and implement enterprise search applications like Elasticsearch and Splunk
- Work in an Agile environment with scientists, engineers, consultants, and database administrators
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
✅ Required Qualifications
- Bachelor's degree or equivalent experience
- Basic understanding or experience with predictive/prescriptive modeling skills
⭐ Preferred Qualifications
- Experience with big data technologies
- Experience in an Agile environment
🛠️ Required Skills
- Statistical and machine learning techniques
- Programming languages like Java, Python, Scala
- ETL tools and/or data integration, or federation tools
- Linux, SQL, Python, Spark, Hadoop, Java
- Teamwork
- Excellent verbal and written communication skills
- Ability to communicate with internal and external clients
- Ability to ask business and industry questions
- Ability to communicate results to technical and non-technical audiences
🎁 Benefits & Perks
- Professional development through ongoing learning and mentorship
- Career advancement opportunities
- Culture of coaching and continuous personal growth
- Environment that embraces unique skills and experience
- Encouragement to be courageous and experiment daily
- Continuous trust and support
Locations
- BATON ROUGE, US, 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
- Statistical and machine learning techniquesintermediate
- Programming languages like Java, Python, Scalaintermediate
- ETL tools and/or data integration, or federation toolsintermediate
- Linux, SQL, Python, Spark, Hadoop, Javaintermediate
- Teamworkintermediate
- Excellent verbal and written communication skillsintermediate
- Ability to communicate with internal and external clientsintermediate
- Ability to ask business and industry questionsintermediate
- Ability to communicate results to technical and non-technical audiencesintermediate
Required Qualifications
- Bachelor's degree or equivalent experience (experience)
- Basic understanding or experience with predictive/prescriptive modeling skills (experience)
Preferred Qualifications
- Experience with big data technologies (experience)
- Experience in an Agile environment (experience)
Responsibilities
- Contribute to data gathering, storage, and both batch and real-time processing
- Collaborate with teams to decide on data management systems and identify crucial data for analysis
- Implement and validate predictive models and maintain statistical models
- Design and implement enterprise search applications like Elasticsearch and Splunk
- Work in an Agile environment with scientists, engineers, consultants, and database administrators
- Build teams or write programs to cleanse and integrate data, develop predictive or prescriptive models, and evaluate modeling results
Benefits
- general: Professional development through ongoing learning and mentorship
- general: Career advancement opportunities
- general: Culture of coaching and continuous personal growth
- general: Environment that embraces unique skills and experience
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - Entry Level (Baton Rouge, LA) @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs