Senior AWS Data Engineer

🔥 21 hours ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

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

🎯 Requirements

• Advanced Python programming expertise, including pandas for data manipulation and analysis • Knowledge of object-oriented programming principles and design patterns • Proficiency with 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 and project management tools such as Azure DevOps • 5–10 years of data engineering experience with global or regional project exposure is nice to have • Experience with CI/CD, version control, and automated testing