Senior AWS Data Engineer

Lingaro

. Maintain and develop comprehensive Data Engineering platforms .

Posted 9/17/2026contractRemote • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates advanced expertise in Python programming and AWS technologies, with a strong focus on building scalable data engineering solutions. Proficient in applying object-oriented programming principles and agile methodologies to deliver high-quality, maintainable data-processing systems.

Highest-signal resume keywords

Advanced Python ProgrammingAWS Glue for ETL ProcessesAmazon Athena for Data QueryingAWS Step Functions and LambdaAgile Software Development Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringObject-Oriented ProgrammingData Manipulation with PandasCI/CD PracticesVersion ControlAutomated TestingDynamoDB for NoSQL StorageDebugging AWS ServicesReusable Module DesignData Processing Solutions

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

AWS Native StackAzure DevOpsModern Python Development Tools

Industry Keywords

Cloud ArchitecturesData Engineering PlatformsGlobal Project Exposure

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBETLNoSQLPandasPython

About the role

Key responsibilities & impact

Maintain and develop comprehensive Data Engineering platforms
Build scalable, reusable solutions deployable across multiple countries and business environments
Develop and maintain Data Engineering platforms using the AWS Native stack
Design and implement generalized, reusable modules using modern Python practices
Apply object-oriented programming principles to create maintainable and scalable data-processing solutions
Collaborate within agile development teams to deliver high-quality solutions on schedule
Identify root causes of issues in existing data and suggestion-generation pipelines
Implement robust fixes by debugging AWS Step Functions, Glue, Athena, and Lambda
Use modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency

Requirements

What you’ll need

Advanced Python programming expertise
Proficiency with pandas for data manipulation and analysis
Knowledge of object-oriented programming principles and design patterns
Knowledge of modern Python development tools and best practices
Experience with AWS Glue for ETL processes
Experience with Amazon Athena for data querying
Experience with DynamoDB for NoSQL data storage
Experience with AWS Step Functions and Lambda for workflow orchestration
Strong understanding of AWS-based cloud architectures
Experience with agile software development methodologies
Familiarity with project management tools such as Azure DevOps
Experience with CI/CD, version control, and automated testing
5–10 years of data engineering experience with global or regional project exposure is nice to have

Benefits

Comp & perks

Freelance engagement
Inclusive, safe, and respectful workplace
Equal opportunities regardless of background, identity, or personal characteristics
Environment supporting learning and growth