DataStage ETL Engineer - IBM Infosphere | Plano, TX

HCL Technologies Limited; Plano (TX); On-site; USD 45,000 - 86,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

401(k) retirement plan

Paid time off

Holidays

Job summary

HCL Technologies Limited in Plano, TX seeks a DataStage Engineer to develop and implement solutions using IBM Infosphere DataStage Suite and SQL. You will manage data integration processes and ensure efficient data flow.

Responsibilities include building ETL jobs, optimizing SQL queries, monitoring data quality, and collaborating with teams to resolve issues while adhering to data standards and ITIL processes.

Qualifications

• Knowledge of ibm infosphere datastage suite development
• Understanding of sql programming skills for data extraction and manipulation
• Familiarity in implementing etl processes
• Knowledge of data warehousing concepts and methodologies
• Ability to work collaboratively in a team environment
• Problem-solving and analytical skills
• Knowledge of itil process
• Understanding of azure devops to perform build and deploy

Responsibilities

• Develop and maintain etl processes using ibm infosphere datastage suite
• Implement data integration solutions to meet business requirements
• Create and optimize sql queries to manipulate and extract data from databases
• Collaborate within team to troubleshoot and resolve data related issues
• Monitor data quality and ensure compliance with data standards and regulations
• Participate in operational activities like monitoring
• Build and deploy

Skills

ETL development

SQL programming

Data integration

Team collaboration

Problem solving

ITIL knowledge

Azure DevOps

Data warehousing concepts

Tools

IBM Infosphere DataStage

Azure DevOps

Job description

HCL Technologies Limited in Plano, TX seeks a DataStage Engineer to develop and implement solutions using IBM Infosphere DataStage Suite and SQL. You will manage data integration processes and ensure efficient data flow.

Responsibilities include building ETL jobs, optimizing SQL queries, monitoring data quality, and collaborating with teams to resolve issues while adhering to data standards and ITIL processes.