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Senior Data Engineer

Job Description - Senior Data Engineer




  • Design and develop scalable data ingestion and transformation pipelines integrating data from multiple source systems.

  • Implement data cleansing, validation, and quality processes to ensure accurate, consistent, and reliable data.

  • Build complex datasets and data models to support reporting, analytics, dashboards, and business decision-making.

  • Analyze data and reporting requirements to identify trends, data gaps, and quality issues.

  • Work closely with cross-functional teams using Agile methodology to deliver reliable and high-quality data solutions.






Requirements




  • At least 5 years of experience as an expert in Data Engineering and Analysis.

  • Expertise in data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions

  • Hands-on experience with Agile software development

  • Experience in designing and hands-on development in cloud-based analytics solutions.

  • Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.

  • Designing and building of data pipelines using API ingestion and Streaming ingestion methods.

  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.

  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings.

  • Expertise in Azure Databricks, Azure Stream Analytics, Power BI is desirable

  • Knowledge of SAP and BW/ BPC is desirable.

  • Expert in Python, Scala, SQL is desirable

  • Experience developing security models.





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