Data Engineer-Data Integration
IBM
Data Engineer-Data Integration
Job Description
Data Engineer-Data Integration
📋 Job Overview
As a Data Engineer at IBM, you will work in IBM Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves managing data pipelines for batch and stream processing, collaborating with diverse teams to design data management systems, and tackling challenges in database integration and data cleansing. You will also develop predictive models and enterprise search applications to drive innovation and data-driven insights.
📍 Location: Pune, IN (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 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
- 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
- Developing & maintaining data pipelines for batch & stream processing using Informatica PowerCenter or cloud ETL/ELT tools
- Liaising with business teams and technical leads to gather requirements, identify data sources, and design target data structures
- Performing unit testing and supporting UAT
- Working with data scientists and business analytics teams to assist in data ingestion and data-related technical issues
✅ Required Qualifications
- Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
- Knowledge of Cloud, Power BI, Data migration on cloud skills
- Experience in Unix shell scripting and python
- Experience with relational SQL, Big Data
⭐ Preferred Qualifications
- Knowledge of MS-Azure Cloud
- Experience in Informatica PowerCenter
- Experience in Unix shell scripting and python
🛠️ Required Skills
- Informatica PowerCenter
- Cloud
- Power BI
- Data migration
- Unix shell scripting
- Python
- Relational SQL
- Big Data
- MS-Azure Cloud
- Elasticsearch
- Splunk
- Agile
- Statistical models
- Machine learning
- Data pipelines
- ETL/ELT tools
- Data ingestion
- Data cleansing
- Predictive models
- Prescriptive models
🎁 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
- Opportunity to collaborate and drive exceptional outcomes for customers
- Commitment to being an equal-opportunity employer
Locations
- Pune, 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
- Informatica PowerCenterintermediate
- Cloudintermediate
- Power BIintermediate
- Data migrationintermediate
- Unix shell scriptingintermediate
- Pythonintermediate
- Relational SQLintermediate
- Big Dataintermediate
- MS-Azure Cloudintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Agileintermediate
- Statistical modelsintermediate
- Machine learningintermediate
- Data pipelinesintermediate
- ETL/ELT toolsintermediate
- Data ingestionintermediate
- Data cleansingintermediate
- Predictive modelsintermediate
- Prescriptive modelsintermediate
Required Qualifications
- Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter (experience)
- Knowledge of Cloud, Power BI, Data migration on cloud skills (experience)
- Experience in Unix shell scripting and python (experience)
- Experience with relational SQL, Big Data (experience)
Preferred Qualifications
- Knowledge of MS-Azure Cloud (experience)
- Experience in Informatica PowerCenter (experience)
- Experience in Unix shell scripting and python (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
- 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
- Developing & maintaining data pipelines for batch & stream processing using Informatica PowerCenter or cloud ETL/ELT tools
- Liaising with business teams and technical leads to gather requirements, identify data sources, and design target data structures
- Performing unit testing and supporting UAT
- Working with data scientists and business analytics teams to assist in data ingestion and data-related technical issues
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: Opportunity to collaborate and drive exceptional outcomes for customers
- general: Commitment to being an equal-opportunity employer
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Data Engineer-Data Integration
IBM
Data Engineer-Data Integration
Job Description
Data Engineer-Data Integration
📋 Job Overview
As a Data Engineer at IBM, you will work in IBM Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves managing data pipelines for batch and stream processing, collaborating with diverse teams to design data management systems, and tackling challenges in database integration and data cleansing. You will also develop predictive models and enterprise search applications to drive innovation and data-driven insights.
📍 Location: Pune, IN (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 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
- 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
- Developing & maintaining data pipelines for batch & stream processing using Informatica PowerCenter or cloud ETL/ELT tools
- Liaising with business teams and technical leads to gather requirements, identify data sources, and design target data structures
- Performing unit testing and supporting UAT
- Working with data scientists and business analytics teams to assist in data ingestion and data-related technical issues
✅ Required Qualifications
- Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
- Knowledge of Cloud, Power BI, Data migration on cloud skills
- Experience in Unix shell scripting and python
- Experience with relational SQL, Big Data
⭐ Preferred Qualifications
- Knowledge of MS-Azure Cloud
- Experience in Informatica PowerCenter
- Experience in Unix shell scripting and python
🛠️ Required Skills
- Informatica PowerCenter
- Cloud
- Power BI
- Data migration
- Unix shell scripting
- Python
- Relational SQL
- Big Data
- MS-Azure Cloud
- Elasticsearch
- Splunk
- Agile
- Statistical models
- Machine learning
- Data pipelines
- ETL/ELT tools
- Data ingestion
- Data cleansing
- Predictive models
- Prescriptive models
🎁 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
- Opportunity to collaborate and drive exceptional outcomes for customers
- Commitment to being an equal-opportunity employer
Locations
- Pune, 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
- Informatica PowerCenterintermediate
- Cloudintermediate
- Power BIintermediate
- Data migrationintermediate
- Unix shell scriptingintermediate
- Pythonintermediate
- Relational SQLintermediate
- Big Dataintermediate
- MS-Azure Cloudintermediate
- Elasticsearchintermediate
- Splunkintermediate
- Agileintermediate
- Statistical modelsintermediate
- Machine learningintermediate
- Data pipelinesintermediate
- ETL/ELT toolsintermediate
- Data ingestionintermediate
- Data cleansingintermediate
- Predictive modelsintermediate
- Prescriptive modelsintermediate
Required Qualifications
- Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter (experience)
- Knowledge of Cloud, Power BI, Data migration on cloud skills (experience)
- Experience in Unix shell scripting and python (experience)
- Experience with relational SQL, Big Data (experience)
Preferred Qualifications
- Knowledge of MS-Azure Cloud (experience)
- Experience in Informatica PowerCenter (experience)
- Experience in Unix shell scripting and python (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
- 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
- Developing & maintaining data pipelines for batch & stream processing using Informatica PowerCenter or cloud ETL/ELT tools
- Liaising with business teams and technical leads to gather requirements, identify data sources, and design target data structures
- Performing unit testing and supporting UAT
- Working with data scientists and business analytics teams to assist in data ingestion and data-related technical issues
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: Opportunity to collaborate and drive exceptional outcomes for customers
- general: Commitment to being an equal-opportunity employer
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