Sr Data Engineer
Franklin Templeton · Hyderabad
About the Department
- Lexington Partners, part of Franklin Templeton, is a global leader in secondary private equity and co-investment funds. The Data & AI team enables business growth by building trusted data platforms, analytics capabilities, and AI-ready solutions that support informed decision-making across the organization. Team members work closely with U.S.-based colleagues, business leaders, and technology partners to deliver scalable, modern, and high-quality data solutions. Joining the team offers the opportunity to work with leading cloud technologies, enterprise data platforms, automation, analytics, and emerging AI initiatives while contributing to business-critical outcomes.
How You Will Add Value?
Core Responsibilities:
- You will design and deliver scalable enterprise data solutions.
- You will create and maintain enterprise data models.
- You will develop Snowflake data warehouse solutions.
- You will build and optimize ETL/ELT pipelines.
- You will develop Apache Airflow workflows.
- You will support master data management programs.
- You will deliver reporting, dashboarding, and analytics solutions.
Engineering & Continuous Improvement:
- You will implement automation and CI/CD best practices.
- You will establish and maintain data quality standards.
- You will use GitHub to support controlled software delivery.
- You will improve platform performance and reliability.
- You will simplify workflows and reduce operational risk.
- You will evaluate and adopt valuable new technologies.
Team & Collaboration:
- You will partner with stakeholders to understand business needs.
- You will transform requirements into practical data solutions.
- You will communicate technical decisions and risks effectively.
- You will collaborate across Hyderabad and U.S.-based teams.
- You will mentor engineers through reviews and knowledge sharing.
- You will promote a culture of ownership and collaboration.
What Will Help You Be Successful in This Role?
Experience, Education & Certifications:
- Bachelor’s or Master’s degree in a relevant technical discipline.
- 7+ years of data engineering experience.
- Experience building enterprise-scale data platforms.
- Strong Snowflake implementation experience.
- Experience with Apache Airflow orchestration.
- Experience working with cloud data platforms.
- Experience delivering business intelligence solutions.
Technical Skills:
- Advanced SQL expertise.
- Enterprise data modeling capabilities.
- ETL/ELT design and development experience.
- Strong Python programming skills.
- Snowflake optimization and performance tuning knowledge.
- CI/CD and GitHub proficiency.
- Modern cloud architecture knowledge.
Soft Skills:
- Strong analytical thinking and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Strong collaboration and teamwork capabilities.
- Proactive and results-oriented mindset.
- Ability to manage competing priorities.
- Strong ownership and accountability.
- Focus on quality, reliability, and continuous improvement.
Work Shift Timings - 2:00 PM - 11:00 PM IST
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