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Data Warehousing Specialist

2 months ago


London, Greater London, United Kingdom Pontoon Full time
About the Role

Pontoon is seeking a highly skilled Data Warehousing Specialist to join our client's team. As a Data Warehousing Specialist, you will be responsible for designing, developing, and deploying ETL solutions using IBM DataStage.

Key Responsibilities
  • Translate business requirements into technical ETL designs
  • Create and review high-level solution designs
  • Develop, enhance, and maintain ETL code following best practices and standards
  • Perform technical walkthroughs of amended DataStage ETL solutions for peer reviews
  • Debug and problem-solve issues found during testing and/or production
  • Promote DataStage ETL code using Perforce and Urban Code deployment tools
  • Evaluate data for completeness and correctness, validate that ETL code is working as expected
  • Communicate status, issues, blockers to project manager and ETL team lead
  • Support continuous improvement of ETL interfaces by identifying and solving opportunities
  • Update and publish documentation, system diagrams, presentations, workflows, project plans, log issues, and unit testing logs
  • Attend project and ETL meetings
  • Perform knowledge transfer sessions to ETL Production support and Development team
  • Assist Production support team on the resolution of production incidents related to ETL processes when required
Accountabilities
  • Ensure all deliverables meet internal standards, industry best practices within the agreed timeframe
  • Ensure clear and transparent communication to all key stakeholders
  • Be responsible for the project deliverables related to assigned initiatives
  • Be responsible for IT-related risks, issues, and ensure appropriate escalation to appropriate management
  • Support strategic discussions and propose appropriate recommendations to IT management
  • Be responsible for troubleshooting, root cause analysis, data analysis related to BAU support requests
  • Ensure appropriate tracking and escalation of IT-related risks and issues observed
Requirements
  • IBM DataStage: Understanding of DataStage architecture and components. Familiarity with DataStage Designer, Director, and Administrator. Knowledge of DataStage jobs, stages, and data connections. Experience with parallel job design and development
  • Database Systems: Relational databases (e.g., IBM Db2, Oracle, SQL Server). SQL and PL/SQL programming
  • ETL development: Designing, developing, and deploying DataStage jobs. Creating complex ETL processes using DataStage and connectors. Performance tuning of DataStage jobs
  • Data Transformation and Cleansing: Applying data transformation rules. Implementing data quality and data cleansing routines
  • Data Integration: Integrating data from various sources (e.g., databases, flat files, XML). Handling structured and unstructured data
  • Problem Solving and Debugging: Identifying and resolving ETL job failures. Troubleshooting performance issues
  • Hands-on Experience with IBM DataStage: Several years of experience developing ETL solutions using IBM DataStage. Experience with different DataStage versions
  • Project Experience: Involvement in full project life cycles, from requirements gathering to deployment and maintenance. Working in Agile or Waterfall project environments
  • Database and SQL Experience: Writing complex SQL queries and stored procedures. Working with large datasets and optimising queries for performance