Data Engineer
\nJob Title
\nData Engineer
\nJob Summary
\nThe Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data architectures that support analytics, reporting, and business intelligence solutions.
\nThis role ensures that data from multiple systems can be collected, transformed, and made available for analysis in a reliable and efficient manner.
\nKey Responsibilities<\/p>\n
Design and implement data pipelines and ETL processes.
\nIntegrate data from multiple systems such as ERP, CRM, and operational databases.
\nBuild and maintain data warehouses and data lakes.
\nEnsure data quality, consistency, and reliability.
\nWork closely with BI Analysts to support dashboard development.
\nOptimize data pipelines for performance and scalability.
\nImplement data transformation and data cleansing processes.
\nSupport advanced analytics and machine learning initiatives.
\nMaintain documentation of data architecture and data flows.<\/p>\n
Technologies<\/p>\n
ETL tools (SSIS, Azure Data Factory, Talend, Informatica)
\nSQL and Python
\nData Warehousing platforms
\nCloud data platforms (Azure, AWS, Google Cloud)
\nBig Data technologies (optional)<\/p>\n
Required Qualifications<\/p>\n
Bachelor\u2019s degree in:<\/p>\n
Computer Science
\nData Engineering
\nSoftware Engineering
\nInformation Systems<\/p>\n
Required Skills<\/p>\n
Strong SQL skills
\nData pipeline development
\nData modelling and warehousing
\nProgramming (Python, Scala, or Java)
\nETL and data integration tools<\/p>\n
Preferred Skills<\/p>\n
Cloud data platforms (Azure Data Factory, Snowflake, BigQuery)
\nExperience with real-time data processing
\nKnowledge of data governance frameworks<\/p>\n
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