We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity.

You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake.

Apply now to help deliver high-quality integrations and keep advancing your AI skills

Responsibilities

Design scalable, long-lasting data integration systems that satisfy both business and technical needs

Collaborate with cross-functional teams to deliver work on time while meeting quality standards

Contribute to architecture discussions by sharing input that shapes data integration direction

Review peers’ code and provide actionable feedback to uphold reliable engineering practices

Troubleshoot complex technical problems that arise across the data pipeline lifecycle

Mentor junior colleagues by sharing knowledge that strengthens their technical skills

Support planning activities by clarifying scope and providing trustworthy time estimates

Stay current with evolving technologies and introduce valuable approaches into day-to-day work

Maintain clear documentation of key technical decisions and data workflows to ensure long-term stability

Partner with stakeholders to define goals and verify outcomes meet expectations

Requirements

At least 3 years of applicable, relevant professional experience

Functional knowledge of AI principles and tools, applied to improve data integration solution development

Advanced proficiency in Python for developing and maintaining data integration applications





Hands-on background working in cloud environments built on Amazon Web Services

Strong foundation in Data Integration, combining and harmonizing data from multiple sources

Solid SQL skills for structuring, managing, and querying relational databases

Familiarity with NoSQL database systems to work with unstructured and semi-structured data

Understanding of CI/CD practices that enable consistent, automated deployment of software and pipelines

Working knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutions

Experience with Apache Airflow to schedule, orchestrate, and monitor data workflows

Practical experience with Databricks or Snowflake to support large-scale processing and analytics

Hands-on knowledge of Apache Spark for processing and analyzing substantial datasets

Awareness of SDLC Methodologies and how they support organized, efficient project delivery

Experience working in Agile settings that encourage iterative, team-oriented development

Confident English communication skills at a B2 level (Upper-Intermediate) or higher

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Senior Data Integration Engineer (AI, Python, Databricks) (Argentina)
🏢 EPAM Systems
📍 Argentina