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Mid-level, metro location, and generalist data title increase applicant competition moderately.
Core Python, SQL, and Databricks skills are highly transferable across industries, lowering background sensitivity.
Explicit 2–4 year requirement plus mandatory Kedro/Python/SQL experience raises filter strictness.
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Take ownership and manage the lead generation engine built on Kedro pipelines ensuring reliability, maintainability, and scalability.
Maintain, troubleshoot, and enhance the Python-based data workflows and SQL queries within a modern data environment (preferably Databricks).
Collaborate with cross-functional teams to translate requirements into robust technical solutions and contribute to new initiatives involving machine learning and data science.
Bachelor's degree in Computer Science, Data Science, Engineering, IT, or related field.
2-4 years of relevant professional experience in software development, data engineering, or data science roles.
Strong programming skills in Python, including hands-on experience with Kedro pipelines and strong SQL skills.
Experience working in data environments with troubleshooting production code, and ability to manage ownership of critical solutions.
Technically proficient in Python with specific experience in Kedro pipeline development and maintenance.
Demonstrates deep and intuitive understanding of data quality, able to identify issues and propose improvements proactively.
Comfortable taking end-to-end ownership of key business solutions and motivated to expand into machine learning and wider data science projects.