Data Engineer (Azure Experience) | KHI | Hybrid | PKR Salary
HybridKarachi, Sindh, Pakistan
Karachi, Sindh, PakistanHybridFull TimeBachelors DegreeSmall
Full TimeBachelors DegreeSmall
Job Summary
Assess existing SSIS packages and categorize complexity to design Azure Data Factory equivalents. Build and deploy migrated pipelines in phased batches, consolidating similar jobs into reusable parameterized templates. Provide testing support, handover, and rough effort estimates while advising on ADF architecture and best practices. Deliver unit testing, data validation, and documentation for knowledge transfer. This hands-on delivery role includes technical guidance and mentoring within a consultancy specializing in data analytics for UK-based clients.
Required Qualifications
- Core technical skills required Azure & Data Platform
- Strong hands-on experience with Azure Data Factory
- Experience designing Pipelines
- Experience designing Parameterized templates
- Experience designing Reusable datasets
- Experience designing Linked services
- Experience designing Triggers & scheduling
- Experience with Monitoring, logging and error handling in ADF
- CI/CD for ADF (ARM/Bicep/Terraform or Azure DevOps/GitHub)
- SQL & ETL
- Deep experience with SQL Server Integration Services
- Proven experience migrating pipelines to ADF
- ETL/ELT design patterns
- Data transformation and ingestion from files (Excel, CSV, flat files)
- Azure Infrastructure
- Experience working with Azure Virtual Machines
- Experience working with Storage accounts / Blob / ADLS
- Practical experience expected Assessing existing pipelines and producing migration approaches
- Lift & shift vs refactor decision making
- Consolidating similar jobs into parameterized pipelines
- Designing modular, reusable ADF components
- Batch delivery / phased releases
- Unit testing & data validation
- Documentation and knowledge transfer
- Providing best practice guidance and mentoring
- Bachelor's degree in Computer Science, IT, Data Science, Software Engineering, or a related technical field
- Must have 2 years or above experience in the Data Engineering field
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