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Senior Data Engineer
Skills
Continuous Integration And Continuous DeliveryMicrosoft AzureSQLAmazon Web ServicesData ServicesExtractTransform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Active SC Clearance
- Extensive hands-on Informatica experience
- Proven ETL and ELT pipeline development experience
- Experience with data integration transformation quality management and enterprise data management
- Strong understanding of source-to-target mappings data lineage validation and reconciliation
- Experience with batch and scheduled processing
- Ability to design scalable maintainable reusable data workflows
- Strong practical experience with AWS
- Experience with S3 Glue Redshift and Lambda
- Understanding of IAM permissions security best practices and monitoring in AWS
- Hands-on experience with Azure data engineering
- Experience with Azure Data Factory and Azure Synapse Analytics
- Ability to work across hybrid or multi-cloud environments
- Ability to translate business requirements into technical solutions
- Ability to provide technical guidance to less experienced team members
Nice to have
- Collaborative
- Detail-oriented
- Mentoring mindset
- Analytical
Day to day
- Design, build, and optimise enterprise-scale data solutions in a secure cloud environment.
- Develop robust ETL and ELT pipelines using Informatica and cloud-native services.
- Collaborate closely with architects analysts developers and stakeholders to deliver scalable reliable data platforms.
Hiring process
- Apply now