We are delivering complex data integration work and are looking for a Senior Data Integration Engineer with hands-on AI familiarity.

You will design, review, and improve cloud-based pipelines using Python, SQL, Airflow, Spark, and platforms such as AWS, GCP, Databricks, or Snowflake in an Agile team.

Apply now to build resilient integrations and keep growing your AI skills

Responsibilities

Design and implement scalable, durable data integration systems that meet business and technical needs

Partner with multidisciplinary teams to complete deliverables on schedule and at the expected quality level

Shape data integration project direction by actively contributing to architecture discussions

Perform code reviews and deliver constructive feedback to maintain dependable engineering practices

Analyze and fix complex technical issues across the end-to-end data pipeline lifecycle

Support junior engineers’ development through mentoring and knowledge sharing

Contribute to planning by clarifying scope and providing accurate time estimates

Track emerging technologies and adopt valuable techniques into everyday work

Create and maintain clear documentation of key decisions and data workflows for long-term stability

Collaborate with stakeholders to define objectives and confirm results match expectations

Requirements

At least 3 years of applicable, relevant professional experience

Functional knowledge of AI principles and tools used to enhance data integration solution development

Advanced skill in Python for building and sustaining data integration applications





Hands-on background operating within cloud environments built on Amazon Web Services

Strong background in Data Integration, joining and consolidating data drawn from multiple sources

Skilled in using SQL to organize, manage, and extract data from relational databases

Familiarity with NoSQL database systems for handling unstructured and semi-structured data types

Understanding of CI/CD practices supporting consistent, automated rollout of software and pipelines

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

Experience with Apache Airflow for scheduling and organizing data-related workflows

Practical experience with Databricks or Snowflake for supporting large-scale data processing and analytics

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

Awareness of SDLC Methodologies and their use in enabling organized, efficient project management

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

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

We offer

International projects with top brands

Work with integral 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

Global 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, Airflow) (Argentina)
🏢 EPAM Systems
📍 Argentina