Integration Developer
Forward Role Recruitment
Job Summary (List Format) - Data Integration Developer (CR287)
- Design, develop, and maintain large-scale data pipelines and ETL interfaces using DataStage v11.7, integrating data from multiple sources into enterprise data warehouses and Big Data systems.
- Deploy, manage, and optimize cloud-based data workflows and infrastructure using AWS, GCP, Azure, Glue, Redshift, and Databricks Data Lakehouse platforms.
- Utilize advanced SQL and stored procedures (DB2, SQL Server, Oracle) to design high-performance, reliable, and secure ETL solutions.
- Implement best practices and recommendations for ETL processes, data integration, and platform optimization, including DataStage Administration and metadata management.
- Collaborate with cross-functional teams to deliver high-quality results, provide technical reports/presentations, and mentor/train internal staff.
- Facilitate knowledge transfer, document processes, and support project management activities for IT strategy and data integration initiatives.
- Work with Unix/Linux servers and scripting languages (Shell, Perl, AWK, sed) for job scheduling, automation, and system integration.
- Apply strong analytical, problem-solving, and communication skills to gather requirements, analyze issues, propose solutions, and present findings to stakeholders at all levels.
- Ensure data quality, optimize data models (normalized and dimensional), and support predictive analytics architecture as needed.
Let me know if you need this summary tailored or condensed further!
- Design, develop, and maintain large-scale data pipelines and ETL interfaces using DataStage v11.7, integrating data from multiple sources into enterprise data warehouses and Big Data systems.
- Deploy, manage, and optimize cloud-based data workflows and infrastructure using AWS, GCP, Azure, Glue, Redshift, and Databricks Data Lakehouse platforms.
- Utilize advanced SQL and stored procedures (DB2, SQL Server, Oracle) to design high-performance, reliable, and secure ETL solutions.
- Implement best practices and recommendations for ETL processes, data integration, and platform optimization, including DataStage Administration and metadata management.
- Collaborate with cross-functional teams to deliver high-quality results, provide technical reports/presentations, and mentor/train internal staff.
- Facilitate knowledge transfer, document processes, and support project management activities for IT strategy and data integration initiatives.
- Work with Unix/Linux servers and scripting languages (Shell, Perl, AWK, sed) for job scheduling, automation, and system integration.
- Apply strong analytical, problem-solving, and communication skills to gather requirements, analyze issues, propose solutions, and present findings to stakeholders at all levels.
- Ensure data quality, optimize data models (normalized and dimensional), and support predictive analytics architecture as needed.
Let me know if you need this summary tailored or condensed further!
Vacancy posted 13 hours ago
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