Job Description – Senior Engineer, Data Science & Engineering (5–8 Years)

Role Overview

We are looking for a highly skilled Senior Engineer, Data Science & Engineering with 5–8 years of experience in Data Engineering, Data Science, and Artificial Intelligence. The ideal candidate will have robust expertise in designing scalable data platforms, building AI/ML solutions, and implementing cloud-native architectures on AWS. You will work closely with business stakeholders and engineering teams to deliver data-driven solutions that power analytics and intelligent applications.

Key Responsibilities
Design, develop, and maintain scalable data pipelines using modern data engineering frameworks.
Build and optimize ETL/ELT workflows for batch and real-time data processing.
Build AI/ML and Generative AI applications using modern LLM frameworks.
Develop production-grade machine learning pipelines for model training, deployment, and monitoring.
Design and implement data models for reporting, analytics, and AI workloads.
Implement data quality, governance, observability,



and monitoring frameworks.
Integrate data from multiple internal and external sources using APIs, Kafka, and CDC pipelines.
Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
Leverage statistical methods, experimentation, and machine learning to analyze business data, validate hypotheses, and deliver predictive and prescriptive insights.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
5–8 years of experience in Data Engineering, Data Science & AI.
Strong programming skills in Python and SQL.
Hands-on experience with Apache Spark and distributed data processing.
Strong experience with AWS services such as S3, Glue, EMR, Lambda, Athena, Redshift, IAM, CloudWatch, Step Functions, ECS/EKS, and DynamoDB.
Hands-on experience with Spark ETL, Apache Kafka and Change D

📌 Senior Machine Learning Engineer (Gurugram)
🏢 TBO.COM
📍 Gurugram