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Detailed Job Description:

4+ years of development experience, experience in the retail industry would be ideal Experience in ETL and Power BI is must. Solid scripting capability for analysis and reporting (SQL, SQL Tuning, Big Data Technologies) Be well-versed in ETL design, implementation, and maintenance Experience with big data workflow orchestration engines for ETL jobs, such as Airflow Experience working with containers, Docker, Kubernetes or other container schedulers Basic experience in cloud-based data platforms, namely AWS Participate in all aspects of the SDLC Desired: Experience in the following: Retail Industry, Supply Chain Systems, Apparel Production Desired: Familiarity with DevOps practices like CI/CD pipelines and tools: Github, Jenkins, Terraform

Nice to Have Skills:

Experience working in an Agile environment Experience with FlexPLM Experience with TradeStone Experience in cloud-based big data platforms, namely AWS and Azure Experience using Jira and Confluence

Job Duties / Responsibilities:

Design, develop, document and implement the components required for optimal extraction, transformation, and loading of data from a wide variety of data sources Work with stakeholders to assist with data-related technical issues and support their data engineering needs Create data tools for analytics and performance measurement as required Build processes supporting data transformation, data structures, metadata, dependency and workload management