Data Engineer

Bengaluru | 4–6 years' experience

Key Responsibilities:

• Collaborate closely with Machine Learning (ML) teams to deploy and monitor models in production, ensuring optimal performance and reliability.

• Design and implement experiments, and apply statistical analysis to validate model solutions and results.

• Lead efforts in ensuring high-quality data, proper governance practices, and excellent system performance in complex data architectures.

• Develop, maintain, and scale data pipelines, enabling machine learning and analytical models to function efficiently.

• Monitor and troubleshoot issues within data systems, resolving performance bottlenecks and implementing best practices.

Required Skills and Experience:

• 5-6 years of data engineering experience, with a proven track record in building scalable data systems.

• Proficiency in SQL & No SQL databases, Python, and distributed processing technologies such as Apache Spark.

• Strong understanding of data warehousing concepts, data modelling, and architecture principles.

• Expertise in cloud platforms (AWS, GCP, Azure) and managing cloud-based data systems would be an added advantage

• Hands-on experience building and maintaining machine learning pipelines and utilizing tools like MLflow, Kubeflow, or similar frameworks.

• Experience with search, recommendation engines, or NLP (Natural Language Processing) technologies.

• Solid foundation in statistics and experimental design, particularly in relation to machine learning systems.

• Strong problem-solving skills and ability to work independently and in a team-oriented environment.