AWS Data Engineer

• Design, implement, and maintain the data architecture for all AWS data services
• Design and implement ETL processes to load data into the data warehouse
• Optimize data models for performance and efficiency
• Write SQL queries to support data analysis and reporting
• Monitor and troubleshoot data pipelines
• Generate reports and dashboards to visualize data
• Collaborate with software engineers to design and implement data-driven features
• Perform root cause analysis on data issues
• Keep up to date with new AWS data services and features
• Maintain documentation of the data architecture and ETL processes
• Train other team members on how to use the data architecture and ETL processes

Requirements

• Bachelor’s degree in computer science, engineering, or related field
• Minimum 3 years professional experience working with data in a business setting
• Experience with AWS data services
• Proficient in SQL for data analysis and manipulation
• Experience with ETL (extract, transform, load) processes
• Strong understanding of modern approaches to data engineering and the best approach to solve our customers’ unique data problems
• Knowledge of SQL and Python, other languages are preferable (PySpark, Java, Scala)
• Experience in Big Data technologies (Hadoop, Spark, Databricks, Snowflake)
• Strong experience building ETL / ELT pipelines, Data Lakes and Data Warehouses
• Experience with Apache Spark
• Experience with data visualization tools
• Good analytical and creative problem-solving skills
• Open mindset, ability to quickly adapt new technologies
• Ability to communicate technical information to technical and non-technical staff in a way that is easy to understand.
• Ability to cope with fast changing technologies used in application developments
• Excellent knowledge of English language
• Capability of working in an international/ multicultural environment