We are expanding our data integration capability and need a Senior Data Integration Engineer with solid AI awareness and strong engineering habits.

You will build and operate pipelines across AWS and GCP, using Python, SQL, Airflow, Spark, and Databricks or Snowflake to integrate data at scale.

Apply now to help us deliver dependable solutions and grow your AI toolkit

Responsibilities

Build scalable and durable data integration systems aligned with business and technical requirements

Coordinate with multidisciplinary teams to ensure deliverables are timely and meet quality criteria

Participate in architecture conversations and provide perspectives that guide project direction

Evaluate code produced by other engineers and share practical feedback to sustain engineering standards

Resolve intricate technical issues encountered throughout the data pipeline lifecycle

Guide junior colleagues through knowledge sharing that builds their capabilities

Assist with planning by helping refine scope and delivering reliable estimates

Monitor technology trends and incorporate worthwhile methods into regular engineering work

Document key technical decisions and data workflows clearly to support system stability

Align with stakeholders on clear objectives and validate that deliverables meet expectations

Requirements

At least 3 years of applicable, relevant professional experience

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

Advanced Python capability for creating and sustaining data integration applications





Hands-on experience operating in Amazon Web Services cloud environments

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

Skilled use of SQL to manage, organize, and extract data from relational databases

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

Understanding of CI/CD practices that support automated, consistent releases of software and pipelines

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

Experience with Apache Airflow for workflow orchestration and scheduling

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

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

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

Experience working in Agile settings that promote iterative, collaborative 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

Integral 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 (AWS, AI, Snowflake) (Argentina)
🏢 EPAM Systems
📍 Argentina