Associate Software Engineer

Analytics Engineering enables enterprise-scale advanced analytics and machine learning capabilities across business domains. The team works closely with data scientists, analysts, and engineering teams to deploy scalable data products and models into production. By maintaining strong governance, security, and compliance standards, the team delivers trusted analytics solutions that support business decision-making and innovation.

Core Responsibilities:

You will build and maintain data pipelines for analytics solutions.

You will create data transformations and curated datasets.

You will support feature engineering and feature store pipelines.

You will assist with Machine Learning Operations (MLOps) workflows.

You will prepare model data and support monitoring activities.

You will contribute to Continuous Integration/Continuous Deployment (CI/CD) processes.

You will perform data validation, quality checks, and lineage tracking.

Team & Collaboration:

You will collaborate with engineers, analysts, and data scientists.

You will support automation initiatives and agentic workflows.

AI Fluency & Modern Engineering Productivity:

You will use Artificial Intelligence (AI) tools to improve development productivity.

You will leverage AI for coding, testing, and documentation.

You will use AI-assisted troubleshooting to optimize query performance.

You will gain experience with AI-powered automation solutions.

Experience, Education & Certifications:

2–4 years of experience in data or analytics engineering.

Bachelor’s degree in computer science, Engineering, or a related discipline.

Exposure to Amazon Web Services (AWS) cloud services.

Understanding of Extract, Transform, Load / Extract, Load, Transform (ETL/ELT) concepts.

Interest in learning MLOps and analytics platform technologies.

Technical Skills:

Working knowledge of Structured Query Language (SQL), Python, and data processing.

Familiarity with data quality and validation practices.

Basic understanding of DevOps and CI/CD principles.

Exposure to Apache Airflow or similar orchestration tools.

Understanding of streaming data concepts.

Exposure to AI, Machine Learning (ML), or Generative AI (GenAI) projects.

Soft Skills:

Strong analytical and problem-solving abilities.

Effective verbal and written communication skills.

Interest in automation, innovation, and continuous learning.

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

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

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.