Engineer

Job Description

Skill: Senior Feature Engineer

Must Have Technical/Functional Skills:

• 10+ years in Data Engineering, Feature Engineering, or ML Engineering.
• Proven experience designing production-grade data/feature pipelines.
• Strong track record in scalable distributed data systems.
• Experience working in enterprise AI/ML platforms or feature stores.
• Prior mentoring or technical leadership experience

Job Description:

• Design and implement scalable, reusable feature pipelines (batch and real-time).
• Develop complex feature transformations and advanced data modeling logic.
• Optimize feature performance, latency, and cost efficiency.
• Ensure feature quality, validation, and SLAs (freshness, accuracy, reliability).
• Collaborate with Data Science and ML Engineering teams to align features with use cases.
• Contribute to feature store architecture and standards.
• Mentor Feature Engineers and promote engineering best practices.
• Support production deployment, monitoring, and incident resolution

Roles & Responsibilities

Technical Skills:

• Programming: Advanced Python and SQL.
• Distributed Processing: Spark / Flink (large-scale data processing).
• Feature Engineering: Advanced transformations, feature design patterns.
• Data Modeling: Complex transformations, aggregation strategies.
• Feature Stores: Hands-on with platforms such as Hopsworks, Feast, SageMaker.
• ML Lifecycle Understanding: Feature importance, model input optimization.
• Data Quality & Validation: Drift detection, validation frameworks.
• Platform & Engineering.
• CI/CD pipelines and automated testing.
• Cloud platforms (Azure / AWS / GCP).
• Monitoring, observability, and production debugging.
• Performance tuning and scalability optimization

Soft Skills:

• Technical leadership and mentoring.
• Cross-team collaboration (Data Science, MLOps, Platform).
• Strong problem-solving and optimization mindset.
• Ability to translate business use cases into feature

Salary Range - $100,000-$120,000 a year

TCS Employee Benefits Summary:

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF COMPUTER SCIENCE