Overview

We are seeking a Lead Full-Stack Engineer (Python Data) to build scalable, data-centric products that support global consulting and advisory services. You will lead work across software engineering, data platforms and AI-assisted delivery, shaping systems for analytics, reporting and enterprise decision-making. Help us design cloud-native Azure solutions and robust pipelines—apply now!

Responsibilities:
  • Design and deliver Python services and data pipelines using FastAPI and background jobs
  • Build and tune data processing and reporting components with Pandas, Polars, DuckDB and openpyxl
  • Develop end-to-end ETL/ELT workflows and connect them to analytics platforms
  • Work with orchestration tools such as Airflow, dbt and Streamlit
  • Define scalable data architectures using data lakes, medallion architecture and star schema
  • Contribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus and SignalR
  • Implement and operate CI/CD pipelines using GitHub Actions
  • Apply Infrastructure as Code with Bicep, Terraform and CDK to automate environments
  • Leverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflows
  • Collaborate with engineering, data and business teams to deliver outcomes across domains
Required Qualifications:
  • 5+ years of experience with Python (FastAPI, data processing, backend services)
  • Hands-on experience with Pandas, Polars, DuckDB and Excel processing workflows
  • Solid background in data pipeline patterns such as ETL/ELT
  • Deep understanding of data modeling approaches including star schema and medallion architecture
  • Demonstrated ability to build distributed systems and design robust APIs
  • Practical experience across the Azure ecosystem (compute, storage, messaging)
  • Working knowledge of CI/CD and DevOps practices in production teams
  • Strong system design skills with excellent problem-solving ability
  • Consulting mindset with the ability to align multiple stakeholders and priorities
  • English proficiency at B2 (Upper-Intermediate) level or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Experience with Airflow, dbt and/or Streamlit in production settings
  • Knowledge of Snowflake features such as streams, tasks, time travel and stored procedures
  • Experience with event-driven architectures and messaging systems
  • Familiarity with .NET for legacy systems integration
  • Frontend exposure using Angular or Next.js
  • Experience with distributed processing and async workflows
Skills:
  • Python.Data
  • Azure Container Apps
  • Azure Storage
  • Background Processing
  • FastAPI
  • Microsoft Azure
  • Web Services
  • .NET Web Development
  • AWS Cloud Development Kit
  • Apache Airflow
  • Azure Service Bus
  • Azure SignalR Service
  • Bicep
  • Anthropic Claude Code
  • Data Lakehouse
  • DuckDB
  • Github Copilot
  • Infrastructure as Code development and maintenance
  • Pandas
  • Snowflake
  • Oracle Solaris
  • Specification Driven Development (SDD)
  • Streamlit
  • Terraform
  • dbt
Note:

✨ Our intelligent job search engine discovered this job and republished it for your convenience.
Please be aware that the job information may be incorrect or incomplete. The job announcement remains the property of its original publisher. To view the original job and its full details, please visit the job's URL on the owner’s page.

Please clearly mention that you have heard of this job opportunity on https://ijob.am.