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Mid-level Bangalore data/MLOps role with a generic software title creates moderate applicant competition.
Data engineering and MLOps skills transfer across industries, but specialized tooling creates moderate domain bias.
Explicit 4–8 years plus mandatory Python, ETL, MLOps, and data platform skills make filters strict.
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Design, build, and maintain scalable batch and real-time data pipelines and ETL/ELT frameworks for multiple enterprise systems.
Develop and optimize data models, data lakes, and analytics-ready datasets ensuring data quality, lineage, governance, security, and compliance.
Provide technical support for design discussions and ensure system reliability and performance in production environments.
4-8 years of hands-on software development experience.
Bachelor of Engineering (CSE/Information Technology) with minimum 70%.
Strong Python coding expertise with experience in coding standards, version control (Git/Bitbucket), build process, DevOps, and CI/CD.
Experience with REST APIs, Agile methodologies, and technical documentation.
Experienced in delivering sprint goals with quality improvements in production systems.
Collaborates closely with Data Science and Applications teams, supporting engineers in project execution.
Demonstrates operational responsibility for production environment monitoring and troubleshooting.