Work from Office
Full Time
Are you passionate about building scalable data systems and driving data quality across complex ecosystems? Join Derisk360 to work on advanced cloud and data engineering initiatives that power intelligent business decision-making. What You ll Do: Work with a broad stack of AWS services: S3, AWS Glue, Glue Catalog, Lambda, Step Functions, EventBridge , and more. Develop and implement robust data quality checks using DQ libraries. Lead efforts in data modeling and manage relational and NoSQL databases. Build and automate ETL workflows using Unix scripting DevOps and Agile methodologies , including use of CI/CD tools and code repositories. Engineer scalable big data solutions with Apache Spark Design impactful dashboards using Amazon QuickSight Microsoft Power BI Work extensively on Integrate real-time data pipelines with data sourcing strategies, including real-time integration solutions. Spearhead cloud migration efforts to Azure Data Lake , including data transitions from on-premise environments. What You Bring: 8+ years of hands-on experience in data engineering roles. Proficiency in AWS cloud services and modern ETL technologies Solid programming experience in Strong understanding of data architecture quality frameworks reporting tools Experience working in Agile environments and using version control/CI pipelines. Exposure to big data frameworks real-time integration tools cloud data platforms What You ll Get: Competitive compensation. Lead and contribute to mission-critical data engineering projects. Work in a high-performance team at the intersection of Continuous learning environment with access to cutting-edge technologies.
Derisk360
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