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 monitoring, troubleshooting, and maintaining ETL workflows and data pipelines using Informatica IICS. The position requires collaboration with various teams to ensure seamless data movement and compliance with data governance standards. Candidates should be passionate about solving data-related issues in real-time within a supportive and innovative environment.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Monitor daily ETL jobs and workflows in Informatica IICS, ensuring successful execution and timely resolution of failures
- Provide L2/L3 support for data integration issues, including job failures, performance bottlenecks, and data discrepancies
- Analyze root causes and implement fixes or workarounds for recurring issues
- Collaborate with development teams to deploy and validate new ETL components
- Maintain and update support documentation, runbooks, and knowledge base articles
- Validate data accuracy and completeness across source and target systems
- Perform reconciliation checks and escalate anomalies to appropriate teams
- Support data governance initiatives by ensuring compliance with data handling standards
- Work closely with business analysts, data architects, and application teams to understand data flows and dependencies
- Generate operational reports and dashboards to track ETL performance and SLA adherence
- Participate in incident management and change control processes
✅ Required Qualifications
- Bachelor’s degree in computer science, Information Systems, or related field
- 6+ years of experience in ETL support or data engineering roles
- Hands-on experience with Informatica IICS (Cloud Data Integration, Cloud Application Integration)
- Strong SQL skills for data analysis and troubleshooting
- Familiarity with cloud platforms (AWS) and data warehousing concepts
- Excellent problem-solving, communication, and documentation skills in English
🛠️ Required Skills
- Informatica IICS
- Cloud Data Integration
- Cloud Application Integration
- SQL
- Cloud platforms (AWS)
- Data warehousing
- Problem-solving
- Communication
- Documentation
🎁 Benefits & Perks
- Career growth and development opportunities
- Supportive and innovative work environment
- Encouragement to challenge the norm and investigate ideas
- Equal opportunity employment
- Eligibility for people with disabilities (PwD) or rehabilitated
Locations
- Multiple Locations, 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
- Informatica IICSintermediate
- Cloud Data Integrationintermediate
- Cloud Application Integrationintermediate
- SQLintermediate
- Cloud platforms (AWS)intermediate
- Data warehousingintermediate
- Problem-solvingintermediate
- Communicationintermediate
- Documentationintermediate
Required Qualifications
- Bachelor’s degree in computer science, Information Systems, or related field (experience)
- 6+ years of experience in ETL support or data engineering roles (experience)
- Hands-on experience with Informatica IICS (Cloud Data Integration, Cloud Application Integration) (experience)
- Strong SQL skills for data analysis and troubleshooting (experience)
- Familiarity with cloud platforms (AWS) and data warehousing concepts (experience)
- Excellent problem-solving, communication, and documentation skills in English (experience)
Responsibilities
- Monitor daily ETL jobs and workflows in Informatica IICS, ensuring successful execution and timely resolution of failures
- Provide L2/L3 support for data integration issues, including job failures, performance bottlenecks, and data discrepancies
- Analyze root causes and implement fixes or workarounds for recurring issues
- Collaborate with development teams to deploy and validate new ETL components
- Maintain and update support documentation, runbooks, and knowledge base articles
- Validate data accuracy and completeness across source and target systems
- Perform reconciliation checks and escalate anomalies to appropriate teams
- Support data governance initiatives by ensuring compliance with data handling standards
- Work closely with business analysts, data architects, and application teams to understand data flows and dependencies
- Generate operational reports and dashboards to track ETL performance and SLA adherence
- Participate in incident management and change control processes
Benefits
- general: Career growth and development opportunities
- general: Supportive and innovative work environment
- general: Encouragement to challenge the norm and investigate ideas
- general: Equal opportunity employment
- general: Eligibility for people with disabilities (PwD) or rehabilitated
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
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 monitoring, troubleshooting, and maintaining ETL workflows and data pipelines using Informatica IICS. The position requires collaboration with various teams to ensure seamless data movement and compliance with data governance standards. Candidates should be passionate about solving data-related issues in real-time within a supportive and innovative environment.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Monitor daily ETL jobs and workflows in Informatica IICS, ensuring successful execution and timely resolution of failures
- Provide L2/L3 support for data integration issues, including job failures, performance bottlenecks, and data discrepancies
- Analyze root causes and implement fixes or workarounds for recurring issues
- Collaborate with development teams to deploy and validate new ETL components
- Maintain and update support documentation, runbooks, and knowledge base articles
- Validate data accuracy and completeness across source and target systems
- Perform reconciliation checks and escalate anomalies to appropriate teams
- Support data governance initiatives by ensuring compliance with data handling standards
- Work closely with business analysts, data architects, and application teams to understand data flows and dependencies
- Generate operational reports and dashboards to track ETL performance and SLA adherence
- Participate in incident management and change control processes
✅ Required Qualifications
- Bachelor’s degree in computer science, Information Systems, or related field
- 6+ years of experience in ETL support or data engineering roles
- Hands-on experience with Informatica IICS (Cloud Data Integration, Cloud Application Integration)
- Strong SQL skills for data analysis and troubleshooting
- Familiarity with cloud platforms (AWS) and data warehousing concepts
- Excellent problem-solving, communication, and documentation skills in English
🛠️ Required Skills
- Informatica IICS
- Cloud Data Integration
- Cloud Application Integration
- SQL
- Cloud platforms (AWS)
- Data warehousing
- Problem-solving
- Communication
- Documentation
🎁 Benefits & Perks
- Career growth and development opportunities
- Supportive and innovative work environment
- Encouragement to challenge the norm and investigate ideas
- Equal opportunity employment
- Eligibility for people with disabilities (PwD) or rehabilitated
Locations
- Multiple Locations, 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
- Informatica IICSintermediate
- Cloud Data Integrationintermediate
- Cloud Application Integrationintermediate
- SQLintermediate
- Cloud platforms (AWS)intermediate
- Data warehousingintermediate
- Problem-solvingintermediate
- Communicationintermediate
- Documentationintermediate
Required Qualifications
- Bachelor’s degree in computer science, Information Systems, or related field (experience)
- 6+ years of experience in ETL support or data engineering roles (experience)
- Hands-on experience with Informatica IICS (Cloud Data Integration, Cloud Application Integration) (experience)
- Strong SQL skills for data analysis and troubleshooting (experience)
- Familiarity with cloud platforms (AWS) and data warehousing concepts (experience)
- Excellent problem-solving, communication, and documentation skills in English (experience)
Responsibilities
- Monitor daily ETL jobs and workflows in Informatica IICS, ensuring successful execution and timely resolution of failures
- Provide L2/L3 support for data integration issues, including job failures, performance bottlenecks, and data discrepancies
- Analyze root causes and implement fixes or workarounds for recurring issues
- Collaborate with development teams to deploy and validate new ETL components
- Maintain and update support documentation, runbooks, and knowledge base articles
- Validate data accuracy and completeness across source and target systems
- Perform reconciliation checks and escalate anomalies to appropriate teams
- Support data governance initiatives by ensuring compliance with data handling standards
- Work closely with business analysts, data architects, and application teams to understand data flows and dependencies
- Generate operational reports and dashboards to track ETL performance and SLA adherence
- Participate in incident management and change control processes
Benefits
- general: Career growth and development opportunities
- general: Supportive and innovative work environment
- general: Encouragement to challenge the norm and investigate ideas
- general: Equal opportunity employment
- general: Eligibility for people with disabilities (PwD) or rehabilitated
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