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Hybrid role at a well-known global brand, generic software title, metro location and broad required skills increase competition.
Core data engineering skills (Python, SQL, Spark, cloud) are highly transferable across industries.
Requires mandatory Python/SQL and cloud/data skills but no explicit years, so moderate filtering applies.
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Design, build, and optimize applications and data solutions using Python, SQL, and cloud-native tools.
Develop and maintain data pipelines, ETL workflows, API integrations, and implement CI/CD processes.
Monitor application performance, troubleshoot production issues, and contribute to architecture and code reviews.
Proficiency in Python and SQL mandatory; Spark/Scala experience is a plus.
Knowledge of cloud platforms such as AWS or Azure, containerization (Docker), and orchestration (Kubernetes).
Experience with software development lifecycle (SDLC), version control (Git), and unit/integration testing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, cloud-native applications and data engineering workflows.
Familiarity with DevOps practices, automated CI/CD pipelines, and monitoring for performance and cost efficiency.
Comfortable collaborating across product, data, and platform teams within hybrid office/remote environments.