DATASTAGE DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 19, 2025 - The Datastage Developer possesses deep technical expertise in Unix/Linux, Windows environments, and SQL Server databases, critical for sophisticated data handling and integration. With extensive knowledge of both public and private cloud infrastructures and Machine Learning, this role effectively adapts and innovates within dynamic IT landscapes. Strong analytical skills and experience in financial market software development underscore a robust capability to meet complex project demands.
Essential Hard and Soft Skills for a Standout Datastage Developer Resume
- Datastage Expertise
- Database Management
- Programming Languages
- Unix/Linux Skills
- Cloud Technologies
- Data Modeling
- Machine Learning
- DevOps Tools
- Data Quality Assurance
- Performance Tuning
- Analytical Thinking
- Communication Skills
- Team Collaboration
- Adaptability
- Problem-Solving Skills
- Project Management
- Attention to Detail
- Continuous Learning
- Creativity
- Customer Orientation
Summary of Datastage Developer Knowledge and Qualifications on Resume
1. BS in Information Technology with 3 years of Experience
- Knowledge of design principles and fundamentals of architecture
- Understanding of performance engineering
- Knowledge of quality processes and estimation techniques
- Basic understanding of project domain
- Ability to translate functional / nonfunctional requirements to systems requirements
- Ability to design and code complex programs
- Ability to write test cases and scenarios based on the specifications
- Good understanding of SDLC and agile methodologies
- Awareness of the latest technologies and trends
- Logical thinking and problem solving skills along with an ability to collaborate
2. BS in Software Engineering with 8 years of Experience
- Extensive coding experience with Datastage ETL tools and schedule datastage jobs in micro batches
- Strong experience with RDBMS, SQL specifically with MS SQL Server
- Good experience in UNIX command line and shell scripting
- Coding experience with event platform (Kafka), API and mainframe and familiarity with cloud concepts
- Experience with DevOps tools and technologies
- A solid track record of accomplishments in systems design, deployment, troubleshooting, and tuning
- Experience in application instrumentation systems design, deployment and support
- Understanding of CDC technologies like SQData and Qlik Replicate
- Experience in working in an agile environment
- Work experience with financial organization
3. BS in Data Science with 7 years of Experience
- Experience of Datastage experience in data integration from different sources (Flatfiles, DB, Realtime sources/API, Salesforce)
- Strong knowledge of API data extraction and XML/JSON parsing
- Experience in UNIX and basic python scripting knowledge
- Strong in SQL knowledge
- Experience in scheduling tools(Control-M) Experience in CI/CD(Git lab)
- Experience to design, develop, and support new and existing data warehouse and Business Intelligence (BI) solutions
- Strong Database (Modeling, SQL), Oracle, SQL and PL/SQL experience
- Experience with Business Intelligence tools (like Power BI)
- Strong knowledge of data management and in-depth experience implementing data solutions aligned to business strategies/problems
- Familiarity with Data Integration/Warehousing methodology and techniques
4. BS in Computer Engineering with 5 years of Experience
- Advanced knowledge, experience, and understanding of IBM Datastage 11.7
- Knowledge of Unix/Linux, Windows, SQL Server DB, MQ, Kafka
- Public and Private cloud knowledge, skills and experiences (Azure, AWS, GCP, OpenShift, Dockers, Kubernetes, ELK)
- Knowledge about Machine Learning and Artificial Intelligence
- Knowledge about DevOps (GitHub, Jenkins, Urbancodes, Nexus, Ansible, etc), application monitoring tools (Dynatrace, Prognosis) and related tools
- Strong analytical, consultative, and team communication / facilitative skills
- Understanding of IT Standards, Methodologies, CMM & audit requirements
- Experience creating/debugging Unix Shell Scripts (KSH, BASH)
- Knowledge of Unix/Linux basics
- Hands-on professional experience in software development for financial markets businesses
- High proficiency in hands-on development in the following languages/technology: Datastage version 9.1 and above, Sybase Transact SQL and/or Oracle PL-SQL, Unix shell scripting, Windows Linux and Unix operating systems
5. BS in Information Systems with 4 years of Experience
- Experience working with complex requirements involving active, passive, hierarchical stages and transformations
- Expertise with Unix Shell Scripting and PL/SQL
- Expertise using different databases - Sybase, Oracle, DB2
- Perform Impact Analysis of existing components
- Actively work with Architects and Test Managers
- Ability to perform independent research to understand the product requirements
- Experience in Banking and Finance domain.
- Development experience in DataStage / ETL Tools
- Hands on development/debugging of IBDatastage v8.7 or higher ETL jobs in a grid/cluster environment
- Experience working in Agile teams
6. BS in Computer Science with 5 years of Experience
- Solid experience working with Data related environments, Web Services, XML data sources, API Calls, performance tuning ETL Jobs & Database queries, Oracle, SQL Server, PL/SQL
- Advanced Oracle skills including PL/SQL, packages, procedures, indexing and query tuning
- Ability to identify and reuse ETL components and services to avoid duplicative implementations
- Solid understanding of Data Warehouse design theory including dimensional data modeling
- Experience in working with Jira or similar Agile project management tools
- Ability to thrive in change by having a fast, flexible, cooperative work style and ability to reprioritize quickly
- Excellent oral and written communication
- Knowledge of or experience working in financial services and/or other regulated environments
- IBM Infosphere DataStage experience