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Azure Data Engineer
2 months ago
Qualifications:
- 10 years ofexperience in ETL & Data Warehousing
- Should have excellent leadership &communication skills
- Should have strongworking experience on Data Lakehouse architecture
- Should have in depth knowledge on SSIS ETLTool and good working knowledge on Power BI
- Should have worked on data sources such as SAPand Salesforce
- Should have very good knowledgeof SSIS (ETL Tool) StreamSets (ETL Tool) Azure Cloud ADF AzureSynapse Analytics & Azure Hub Events
- Should have built solution automations in anyof the above ETL tools
- Should have executedatleast 2 Azure Cloud Data Warehousing projects
- Should have worked atleast 2 projects usingAgile/SAFe methodology
- Should havedemonstrated working knowledge on ITIL V4 concepts such as IncidentManagement Problem Management Change Management & KnowledgeManagement
- Should have working experience onany DevOps tools like GitHub Jenkins etc & onsemistructured data formats like JSON Parquet and/or XML files& written complex SQL queries for data analysis andextraction
- Should have in depth understandingon Data Warehousing Data Analysis Data Profiling Data Quality& Data Mapping
- Should have crossglobal location experience and been part of a team with atleast 15members in a global delivery model
- Should haveexperience in working with product managers project managersbusiness users applications development team members DBA teams andData Governance team on a daily basis to analyze requirementsdesign development and deployment technical solutions
Responsibilities:
- Analyze the different sourcesystems profile data understand document & fix Data Qualityissues
- Gather requirements and businessprocess knowledge in order to transform the data in a way that isgeared towards the needs of end users
- Writecomplex SQLs to extract & format source data for ETL/datapipeline
- Create design documents Source toTarget Mapping documents and any supporting documents needed fordeployment/migration
- Design Develop and TestETL/Data pipelines
- Design & buildmetadatabased frameworks needs for data pipelines
- Write Unit Test cases execute Unit Testing anddocument Unit Test results 1. Deploy ETL/Data pipelines
- Use DevOps tools to version push/pull code anddeploy across environments
- Support team duringtroubleshooting & debugging defects & bug fixesbusiness requests environment migrations & other adhocrequests
- Do production support enhancementsand bug fixes
- Work with business andtechnology stakeholders to communicate EDW incidents/problems andmanage their expectations
- Leverage ITILconcepts to circumvent incidents manage problems and documentknowledge
- Maintain and improve alreadyexisting processes
- Ensure that the datapipelines are stable secure maintainable and highlyavailable
azure,sqlazure,etl,data,data warehousing
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