DataStage Senior Technical Lead
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering
In short
Responsible for leading technical teams and implementing projects using IBM Infosphere DataStage Suite, SQL, Oracle PL/SQL, and Unix Shell Scripting. The role involves designing, developing, and maintaining complex ETL processes and databases, ensuring high performance and reliability of data workflows.
Responsibilities
- Lead technical teams in project implementation using IBM Infosphere DataStage Suite, SQL, Oracle PL/SQL, and Unix Shell Scripting.
- Design, develop, and optimize ETL processes for efficient data extraction, transformation, and loading.
- Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
- Provide technical guidance and mentorship to junior team members.
- Perform code reviews, identify areas for improvement, and ensure best practices.
- Troubleshoot and resolve complex technical issues related to data processing and integration.
- Monitor system performance and ensure data accuracy and integrity.
- Stay updated with industry trends and technologies to recommend innovative solutions.
Requirements
- Proficiency in IBM Infosphere DataStage Suite for ETL development.
- Strong expertise in SQL for data manipulation and querying.
- In-depth knowledge of Oracle PL/SQL for database development and management.
- Proficient in Unix Shell Scripting for automation and scheduling tasks.
- Ability to work collaboratively in a team environment and lead technical discussions.
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills.
- Experience in performance tuning and optimization of ETL processes.
- Knowledge of data warehouse concepts and methodologies.
- Knowledge of using Azure DevOps for build and deploy.
- Familiarity with creating physical data models based on data model logic.
#ETL#Data Integration#Technical Lead#IBM DataStage#SQL#Oracle PL/SQL#Unix Shell Scripting#Data Warehousing#Azure DevOps#Data Modeling