Tasks
• Develop and maintain the Data Engineering platforms using AWS Native stack
• Design and implement generalized modules using modern Python development practices that are reusable across various countries and business settings
• Apply object-oriented programming principles to create maintainable and scalable data processing solutions
• Collaborate effectively within agile development teams to deliver high-quality solutions on schedule
• Identify root causes of issues with existing data and suggestion generation pipelines and implement robust fixes (debugging across AWS Step Functions, Glue, Athena, and Lambda)
• Leverage modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency
Requirements
• Advanced Python programming expertise, with particular strength in: o pandas for data manipulation and analysis o Object-oriented programming (OOP) principles and design patterns o Modern Python development tools and best practices
• AWS cloud technologies experience, specifically: o AWS Glue for ETL processes o Amazon Athena for data querying Information Sensitivity: General\Internal o DynamoDB for NoSQL data storage o AWS Step Functions and Lambda for workflow orchestration
• Strong understanding of cloud architectures, particularly AWS-based solutions
• Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps)
• 5-10 years of data engineering experience with global or regional project exposure is nice to have
• Experience with modern software engineering practices including CI/CD, version control, and automated testing
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
Skills Required
- Advanced Python programming expertise
- Experience with pandas for data manipulation and analysis
- Object-oriented programming principles and design patterns
- Modern Python development tools and best practices
- AWS Glue experience for ETL processes
- Amazon Athena experience for data querying
- DynamoDB experience for NoSQL data storage
- AWS Step Functions and Lambda experience for workflow orchestration
- Strong understanding of AWS-based cloud architectures
- Experience with agile software development methodologies
- Experience with project management tools such as Azure DevOps
- 5-10 years of data engineering experience with global or regional project exposure
- Experience with CI/CD, version control, and automated testing
What We Do
You’ve got the data — now what’s next? Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data. From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset. Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro. Be data ready. Be business ready. Be future ready. Contact us at https://lingarogroup.com/contact_us to get started. Want to know more? Check our recognitions & awards below. ? Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment ? Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG ? Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports ? Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment ? Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives ? Great Place to Work® in Poland, the Philippines, and India in 2024







