Data Engineer, AWS

• Design and evolve modern, scalable, reliable, and high-performance data architectures
• Build and optimize data pipelines for Analytics, BI, and data-driven decision-making
• Architect cloud data engineering and distributed processing solutions
• Integrate different data sources and platforms, ensuring data quality, availability, and governance
• Continuously improve the data platform by enhancing performance, reliability, and efficiency
• Work with business and BI teams to transform requirements into sustainable data solutions
• Develop and maintain scalable pipelines for corporate analytics and reporting
• Build batch and near-real-time ingestion processes
• Perform the transformation and processing of large volumes of data
• Participate in code reviews, architecture definition, and continuous improvement initiatives
• Collaborate with architects, BI teams, analysts, developers, and business stakeholders

• Fluent English for daily collaboration with global teams
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
• Strong experience with Databricks
• Advanced knowledge of Apache Spark (PySpark)
• Advanced Python programming skills
• Experience designing and implementing data pipelines and ETL/ELT processes
• Practical knowledge of AWS Glue, AWS Lambda, Amazon S3, and AWS IAM
• Strong command of SQL and data modeling
• Experience with modern Data Lake and Data Warehouse architectures
• Experience working on Business Intelligence and Analytics projects
• Experience with data integration and modeling for Qlik Sense/QlikView
• Knowledge of code version control (Git) and CI/CD practices
• Strong analytical and complex problem-solving skills
• Ability to document processes, data models, integration flows, and operating procedures

• Exposure to people from around the world
• Exchange of knowledge and ideas
• Diverse and multicultural environment
• Opportunities for collaboration across specialties, functions, and geographies