Website:
scoutit.in
Job details:
We're looking for
Data Engineers!
Responsibilities
- Assist in migrating structured and semi-structured data from GCP storage systems to Azure Blob Storage, Azure Data Lake, or Synapse.
- Help validate and reconcile data post-migration to ensure completeness and accuracy.
- Build and maintain ETL pipelines using Azure Data Factory, Synapse Pipelines, or Microsoft Fabric.
- Support the development of data transformation logic (SQL/ADF/Dataflows).
- Ensure data pipelines are efficient, scalable, and meet defined SLAs.
- Support the design of data models to enable effective reporting in Power BI.
- Prepare clean, structured datasets ready for downstream KPI reporting and analytics use cases.
- Conduct unit and integration testing of data pipelines.
- Maintain documentation of data workflows, metadata, and pipeline configurations.
- Collaborate with the Data Engineering Lead, BI Developers, and other team members.
- Stay current with Azure technologies and best practices under the guidance of senior team members.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Exposure to at least one cloud platform (preferably Microsoft Azure).
- Familiarity with SQL and data transformation logic.
- Familiarity with Azure data services like Azure Data Factory, Synapse Analytics, Blob Storage, Data Lake, or Microsoft Fabric.
- Basic knowledge of ETL/ELT concepts and data warehousing principles and familiarity with Unix shell scripting.
- Familiarity with Power BI datasets or Power Query is a plus.
- Good understanding of data quality and testing practices.
- Exposure to version control systems like Git.
(*Note: This is a requirement for one of Scoutit's clients)
Skills: azure,data,power bi
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