Lead Full-Stack Engineer (Python Data)

EPAM Systems, Inc.; Turkey; On-site; TRY 5,897,000 - 8,845,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

Referral bonuses

English courses

Job summary

EPAM Systems, Inc. seeks a Lead Full-Stack Engineer (Python Data) to design scalable, data-centric products and guide engineering across data platforms and AI-assisted delivery.

You will shape analytics systems, implement cloud-native Azure solutions, and build robust pipelines for enterprise decision-making. Responsibilities include developing Python services with FastAPI, data processing with Pandas/Polars/DuckDB, and end-to-end ETL/ELT workflows, while collaborating with business teams and

Qualifications

• 5+ years of experience in Python (FastAPI) and data/backend services.
• Hands-on experience with data processing tools (Pandas, Polars, DuckDB, Excel).
• Strong API design and distributed systems experience.
• Azure ecosystem exposure and CI/CD/DevOps practices.

Responsibilities

• Design and deliver Python services and data pipelines (FastAPI).
• Build data processing and reporting components with Pandas/Polars/DuckDB/Excel.
• Develop end-to-end ETL/ELT workflows connected to analytics platforms.
• Define scalable data architectures (star schema, medallion).
• Contribute to Azure-native implementations and CI/CD pipelines.

Job description

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!ResponsibilitiesDesign and deliver Python services and data pipelines using FastAPI and background jobsBuild and tune data processing and reporting components with Pandas, Polars, DuckDB and openpyxlDevelop end-to-end ETL/ELT workflows and connect them to analytics platformsWork with orchestration tools such as Airflow, dbt and StreamlitDefine scalable data architectures using data lakes, medallion architecture and star schemaContribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus and SignalRImplement and operate CI/CD pipelines using GitHub ActionsApply Infrastructure as Code with Bicep, Terraform and CDK to automate environmentsLeverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflowsCollaborate with engineering, data and business teams to deliver outcomes across domainsRequirements5+ years of experience with Python (FastAPI, data processing, backend services)Hands-on experience with Pandas, Polars, DuckDB and Excel processing workflowsSolid background in data pipeline patterns such as ETL/ELTDeep understanding of data modeling approaches including star schema and medallion architectureDemonstrated ability to build distributed systems and design robust APIsPractical experience across the Azure ecosystem (compute, storage, messaging)Working knowledge of CI/CD and DevOps practices in production teamsStrong system design skills with excellent problem-solving abilityConsulting mindset with the ability to align multiple stakeholders and prioritiesEnglish proficiency at B2 (Upper-Intermediate) level or higherNice to haveExperience with Airflow, dbt and/or Streamlit in production settingsKnowledge of Snowflake features such as streams, tasks, time travel and stored proceduresExperience with event-driven architectures and messaging systemsFamiliarity with .NET for legacy systems integrationFrontend exposure using Angular or Next.jsExperience with distributed processing and async workflowsWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.