Senior Python Developer

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Perú
Software • Consulting
The Role

Important Information

Location: Colombia, Perú, Argentina, Costa Rica or Bolivia
Work mode: Remote - Full time

Position Overview

We are seeking a Senior Python Developer with strong expertise in end-to-end data pipeline development. This role is ideal for professionals who enjoy working closely with business stakeholders and contributing to high-impact, scalable data solutions in cloud-native environments.

You’ll be part of a cross-functional team, driving ingestion, transformation, modeling, and visualization efforts, while also playing a key role in the integration of modern AI tools and techniques into our data workflows.

Key Responsibilities
  • Design, build, and maintain robust data pipelines for ingestion, transformation, and modeling.

  • Implement automated testing and error handling to ensure pipeline reliability and data quality.

  • Collaborate directly with business teams to develop visualizations using Plotly and Streamlit.

  • Operate within a cloud-based architecture (AWS), working with services such as S3, ECS, CloudWatch, and Managed Workflows for Apache Airflow (MWAA).

  • Deploy and manage infrastructure using tools like Docker, Terraform, and Azure DevOps.

  • Integrate and monitor modern AI solutions using tools and frameworks such as RAG, vector stores, Langchain, N8N, MCP Servers, and AWS SageMaker.

Required Skills & Experience
  • 5+ years of hands-on experience with Python for data engineering and automation.

  • Strong proficiency in SQL and data modeling techniques.

  • Proven experience designing and implementing data pipelines in production environments.

  • Solid understanding of data validation, testing frameworks, and error handling strategies.

  • Deep familiarity with the AWS ecosystem, including services like S3, ECS, CloudWatch, and Airflow (MWAA).

  • Experience creating business-facing data visualizations using Plotly and Streamlit.

  • Proven track record working with AI system integrations, including Langchain, RAG, vector stores, N8N, MCP Servers, AWS SageMaker, and other tools for AI model orchestration and monitoring.

  • Comfortable working independently and collaboratively in a remote, distributed team.

  • English: Advanced
Nice to Have
  • Experience with Airflow, Snowflake, Terraform, Docker, MongoDB, Elastic, PostgreSQL, and Azure DevOps.

About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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