Franklin Templeton

Associate Software Engineer

Franklin Templeton
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5 days ago
Hyderābād, IndiaMid Level

Responsibilities

  • Build and maintain data pipelines for analytics solutions.
  • Create data transformations and curated datasets.
  • Support feature engineering and feature store pipelines.
  • Assist with MLOps workflows, model-data preparation, and monitoring activities.
  • Contribute to CI/CD processes, automation initiatives, and agentic workflows.
  • Perform data validation, quality checks, and lineage tracking.
  • Collaborate with engineers, analysts, and data scientists.
  • Use AI tools for coding, testing, documentation, troubleshooting, and development productivity.

Requirements

  • 2–4 years of experience in data or analytics engineering.
  • Bachelor’s degree in computer science, engineering, or a related discipline.
  • Exposure to AWS cloud services and Apache Airflow or similar orchestration tools.
  • Working knowledge of SQL, Python, and data processing.
  • Understanding of ETL/ELT, streaming data concepts, data quality, and validation practices.
  • Basic understanding of DevOps and CI/CD principles.
  • Exposure to AI, machine learning, or generative AI projects.
  • Strong analytical, problem-solving, verbal communication, and written communication skills.
  • Interest in MLOps, analytics platform technologies, automation, innovation, and continuous learning.

Benefits

  • Professional development through in-house classes and more than 150 web-based training courses.
  • Educational assistance for continuing education.
  • Medical, life, and personal accident insurance, including medical coverage for dependents.
  • Personal loan assistance and an Employee Stock Investment Plan.
  • 12 weeks of paternity leave.
  • Onsite fitness, recreation, cafeteria, cricket grounds, gymnasium, library, health center, and HDFC ATM.
  • Transport facility and child day care facility for women employees.
  • Work shift is 2:00 PM–11:00 PM IST.

Tech Stack

Apache AirflowAWSPythonSQL

Categories

Data Engineering
Franklin Templeton

About Franklin Templeton

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