Data Engineer

TX Services

. Maintain and expand AWS data lakehouse infrastructure .

Posted 10/7/2026full-timeBelgrade • SerbiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in building and optimizing ETL/ELT pipelines using DBT and Argo Workflow, alongside strong proficiency in AWS data lakehouse technologies such as S3, Athena, and Glue. Demonstrated ability to ensure data quality and integrity while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

AWS Data Lakehouse InfrastructureDBT Pipeline DevelopmentPython Data ProcessingSQL Query OptimizationData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentDBTAWS S3AWS AthenaAWS GluePythonSQLData ModelingData Quality TestingWorkflow Orchestration

Soft Skills

Analytical ThinkingCollaborationProblem-Solving

Tools & Technologies

Argo WorkflowAirflowMatillion

Industry Keywords

MediaPublishingDigital Platform

Tech Stack

Tools & technologies

AirflowAWSETLMatillionPythonSQL

About the role

Key responsibilities & impact

Maintain and expand AWS data lakehouse infrastructure
Build reliable ETL/ELT pipelines using DBT and Argo Workflow
Ensure pipelines are reliable, well-tested, and documented
Support and optimize AWS data lakehouse infrastructure using S3, Athena, and Glue
Develop and optimize analytical data models for dashboards and analytics use cases
Ensure data quality, integrity, and performance across the data lakehouse platform
Collaborate with data analysts, data scientists, product managers, and business stakeholders across multiple locations
Assess incoming data requirements, challenge assumptions, identify meaningful metrics, and help stakeholders define measurement needs

Requirements

What you’ll need

2+ years of experience in a data engineering or similar data-focused development role
Solid, hands-on experience with DBT, including models, tests, documentation, and incremental strategies
Experience with AWS S3 and the broader AWS data lakehouse ecosystem, including Athena, Glue, or similar
Proficiency in Python for data processing and pipeline development
Solid command of SQL, including complex transformations and query optimization
Good analytical thinking and ability to translate business requirements into technical solutions
Strong data intuition and ability to independently assess data models and metrics
Fluency in English
Experience with workflow orchestration tools such as Argo Workflow, Airflow, or Matillion
Familiarity with data quality frameworks and testing practices
Experience in a media, publishing, or digital platform environment
Higher education degree in a relevant field is nice to have, not required

Benefits

Comp & perks

Benefits are discussed during the HR call
Perks are available on the company website
3D office tour available