Coimbatore, Tamil Nadu, India
Information Technology
Full-Time
Franklin Templeton India
Overview
Lexington Partners is one of the world’s largest and most trusted managers of secondary private equity and co-investment funds. Since our founding in 1994, we’ve been at the forefront of innovation in private equity investing, managing over $70 billion in committed capital and partnering with a global network of institutional investors, private equity firms, and portfolio companies.
What is the Data team responsible for?
What is the Data team responsible for?
- As a Senior Data Engineer, you’ll be a key member of the Data & AI team at Lexington Partners. 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 #MID_SENIOR_LEVEL
- 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.
- 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.
- Bachelor’s or master’s degree in computer science, data science, engineering, or a related field.
- 7+ years of experience in data engineering including 3+ years in a technical leadership role.
- Strong 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.
- Experience with Tableau and Alteryx is a plus.
- Self-starter with a passion for learning new tools and technologies.
- Strong communication skills and a collaborative, ownership-driven mindset.
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