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Skills mentionedPythonPandasSplunk
Work with Scrum Masters, Product Owners, and engineers to iteratively create technical solutions that meet business and technical requirements Design, develop, and maintain applications, APIs, data pipelines, and system integrations Analyze technical system problems, and design and implement effective solutions Handle end-to-end development, including coding, testing, debugging, and deployment Create and maintain technical documentation Execute all levels of testing (Unit, System, Integration, Regression) Collaborate with cross-functional teams to support data integration and application modernization initiatives Troubleshoot and resolve production issues while identifying opportunities for continuous improvement 1-3 years of professional software development experience Excellent analytical, problem-solving, communication, and collaboration skills General knowledge of Agile software development concepts and processes The ideal candidate will be dedicated, demonstrate initiative, and be a logical thinker AI Fluency: Actively uses AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.
Experience building and maintaining robust data pipelines and ELT/ETL processes Experience with data ingestion using Python and Pandas from CSV files and REST endpoints Experience configuring monitoring tools such as Splunk, Datadog, and CloudWatch Experience setting up and maintaining automated test suites, including unit, integration, and end-to-end testing Experience with workflow orchestration tools
