Job Description
- 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 setting 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 t

📌 Data Engineer (Hyderabad)
🏢 Franklin Templeton
📍 Hyderabad