Senior Data Integration Engineer (AWS, AI, Snowflake)

EPAM Systems; Argentina; Remote; ARS 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems Inc. seeks a Senior Data Integration Engineer to design and operate scalable data pipelines across AWS and GCP. You will build with Python, SQL, Airflow, Spark, and Databricks or Snowflake to integrate data at scale while aligning with AI initiatives and best practices.

You will collaborate with cross-functional teams to ensure timely delivery, review peer code, and mentor juniors. The role emphasizes strong engineering habits, SDLC adherence, and agile teamwork within global

Qualifications

• 3+ years of professional data integration experience.
• Functional knowledge of AI principles and tools.
• Hands-on experience in AWS cloud environments.
• Strong data integration background joining and consolidating data from multiple sources.
• Proficient SQL for data extraction and manipulation.
• Familiarity with NoSQL systems for unstructured data handling.
• Understanding of CI/CD practices for automated releases.
• Experience with Google Cloud Platform for data solutions.
• Experience with Apache Airflow for workflow orchestration.
• Experience with Databricks or Snowflake for large-scale processing.
• Knowledge of SDLC methodologies and Agile practices.
• Proficient English communication (B2+ or higher).

Responsibilities

• Build scalable and durable data integration systems aligned with business and technical requirements.
• Coordinate with multidisciplinary teams to ensure timely and quality deliverables.
• Participate in architecture discussions and provide guiding perspectives.
• Evaluate code and provide feedback to sustain engineering standards.
• Guide junior colleagues through knowledge sharing and mentoring.
• Assist with planning by refining scope and delivering reliable estimates.
• Monitor technology trends and incorporate worthwhile methods into work.
• Document key technical decisions and data workflows for stability.

Tools

Databricks

Snowflake

Airflow

Spark

Job description

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 toolkitResponsibilitiesBuild scalable and durable data integration systems aligned with business and technical requirementsCoordinate with multidisciplinary teams to ensure deliverables are timely and meet quality criteriaParticipate in architecture conversations and provide perspectives that guide project directionEvaluate code produced by other engineers and share practical feedback to sustain engineering standardsResolve intricate technical issues encountered throughout the data pipeline lifecycleGuide junior colleagues through knowledge sharing that builds their capabilitiesAssist with planning by helping refine scope and delivering reliable estimatesMonitor technology trends and incorporate worthwhile methods into regular engineering workDocument key technical decisions and data workflows clearly to support system stabilityAlign with stakeholders on clear objectives and validate that deliverables meet expectationsRequirementsAt least 3 years of applicable, relevant professional experienceFunctional knowledge of AI principles and tools, leveraged to enhance data integration solution developmentAdvanced Python capability for creating and sustaining data integration applicationsHands-on experience operating in Amazon Web Services cloud environmentsStrong background in Data Integration, joining and consolidating data from multiple sourcesSkilled use of SQL to manage, organize, and extract data from relational databasesFamiliarity with NoSQL database systems for unstructured and semi-structured data handlingUnderstanding of CI/CD practices that support automated, consistent releases of software and pipelinesWorking knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutionsExperience with Apache Airflow for workflow orchestration and schedulingPractical experience with Databricks or Snowflake for large-scale data processing and analytics supportHands-on knowledge of Apache Spark for analyzing and processing sizable datasetsAwareness of SDLC Methodologies and their use in structured, efficient project managementExperience working in Agile settings that promote iterative, collaborative developmentConfident English communication skills at a B2 level (Upper-Intermediate) or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn