Data Engineer (Pandas, SQL, Snowflake)

• This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. We re looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions on a scale.
• The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt to new solutions fast. You will play a pivotal role in optimizing data infrastructure, enabling data-driven decision-making and integrating AI across the organization.

What is the Data Engineer responsible forServe as a hands - on technical lead, driving project execution and delivery in our growing data team based in the Hyderabad office:

• Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable solutions.
• Lead the initiative to build firmwide data models and master data management solutions for structured data (in Snowflake) and manage unstructured data using vector embeddings.
• Build, maintain, and optimize robust data pipelines and frameworks to support business intelligence and operational workflows.
• Develop dashboards and data visualizations that support strategic business decisions.
• Stay current with emerging trends in data engineering and help implement best practices within the team.
• Mentor and support junior engineers, fostering a culture of learning and technical excellence.

What ideal qualifications, skills & experience would help someone to be successfulBachelor s or master s degree in computer science, data science, engineering, or a related field:

• 4+ years of experience in data engineering.
• Strong Pandas & SQL skills and hands-on experience with modern data pipeline technologies (e.g., Spark, Flink).
• Deep expertise in the Snowflake ecosystem, including data modeling, data warehousing, and master data management.
• Proficiency in at least one programming language - Python preferred.
• Self-starter with a passion for learning new tools and technologies.
• Strong communication skills and a collaborative, ownership-driven mindset.