What do you think differentiates EPAM from other consulting firms in the data engineering space?

EPAM differentiates itself through its deep engineering heritage, a global delivery model, and strategic vendor partnerships, enabling end-to-end digital transformation with a strong focus on data. This combination allows them to deliver robust, scalable, and innovative data solutions across diverse and complex client environments.

EPAM's roots as a pure-play software engineering firm instill an engineering-first mindset, emphasizing quality, scalability, and maintainability in data solutions. They leverage a vast global talent pool, providing specialized expertise in cloud analytics platforms (AWS, Azure, GCP) and modern data technologies. This enables them to tackle diverse data problems, from real-time data ingestion using Kafka to building sophisticated data platforms with Delta Lake for ACID transactions and dbt for robust data transformation governance. Their strong vendor partnerships ensure access to cutting-edge technologies and best practices, which is crucial for clients in regulated industries like finance and healthcare.

For instance, when designing a data warehouse on Snowflake, EPAM's teams would not only implement tables but also optimize for query performance by strategically applying clustering keys, understanding Snowflake's micro-partitioning, and designing efficient data pipelines that minimize Spark shuffle operations. This deep technical understanding translates into solutions that are not just functional, but also performant, cost-effective, and aligned with long-term architectural goals, balancing immediate business needs with future scalability.

In the interview, also mention how your technical skills and problem-solving approach align with their engineering-driven culture and expertise in specific cloud data ecosystems.