Required Technical Skills
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Programming & Data Engineering- Advanced proficiency in Python and SQL.
- Strong expertise in distributed data processing frameworks such as Apache Spark and/or Apache Flink.
- Experience designing and implementing large-scale, production-grade data and feature engineering pipelines.
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Feature Engineering & Machine Learning- Expertise in feature engineering techniques, advanced transformations, feature design patterns, and aggregation strategies.
- Strong understanding of data modeling for machine learning applications.
- Hands-on experience with enterprise feature store platforms such as Feast, Hopsworks, or Amazon SageMaker Feature Store.
- Good understanding of the ML lifecycle, including feature importance, feature selection, and model input optimization.
- Experience implementing data quality frameworks, validation pipelines, and drift detection mechanisms.
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Cloud & Platform Engineering- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
- Knowledge of CI/CD pipelines, automated testing, and DevOps practices.
- Experience with monitoring, observability, production debugging, and performance tuning.
- Strong understanding of scalability, reliability, and production support for enterprise data platforms.
Professional Experience
- 6 10+ years of experience in Data Engineering, Feature Engineering, Machine Learning Engineering, or related disciplines.
- Proven experience designing, building, and supporting production-grade feature engineering and data pipelines.
- Demonstrated expertise in scalable distributed data systems.
- Experience working with enterprise AI/ML platforms, feature stores, and production ML ecosystems.
- Prior experience providing technical leadership, mentoring engineers, or leading engineering initiatives.
Leadership & Soft Skills
- Strong technical leadership and mentoring capabilities.
- Excellent collaboration skills across Data Science, ML Engineering, MLOps, Platform Engineering, and business stakeholders.
- Strong analytical, problem-solving, and optimization mindset.
- Ability to translate business requirements into scalable, production-ready feature engineering solutions.
- Excellent communication skills with the ability to influence technical decisions and drive engineering best practices.
