Data Engineer (Pandas, SQL, Snowflake)

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.

Come join us in delivering better outcomes for our clients around the world!

What is the Data team responsible for?

• 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 for?

Serve 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 successful?

Bachelor’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.

Job Level - Individual Contributor

Work Shift Timings - 2:00 PM - 11:00 PM IST

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

Hear more from our employees

 
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.  

Highlights of our benefits include:

• Professional development growth opportunities through in-house classes and over 150 Web-based training courses

• An educational assistance program to financially help employees seeking continuing education

• Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)

• Life insurance for protection of employees’ families

• Personal accident insurance for protection of employees and their families

• Personal loan assistance

• Employee Stock Investment Plan (ESIP)

• 12 weeks Paternity leave

• Onsite fitness center, recreation center, and cafeteria

• Transport facility

• Child day care facility for women employees

• Cricket grounds and gymnasium

• Library

• Health Center with doctor availability

• HDFC ATM on the campus

Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. 
 
Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.