Senior Data Engineer

• Work with Data analyst to create data models
• Implement ETL pipelines using AWS Glue from data extraction, data uploading, data formatting and data loading
• Implement complex data transformations using Python or Scala
• Verify data transformation using AWS Athena
• Implement data loading into Oracle database and verify
• Ensure best possible performance and quality of transformed/loaded data

Requirements 

• BS/MS degree in Computer Science, Engineering or a related subject
• Good English communication is a must
• Minimum 2+ years of relevant experience primarily in ETL development, data analysis and modelling
• Focus on migration, not data warehouse
• Experience working in an agile team, practicing Scrum, Kanban
• Good communication skills, interpersonal and teamworking skills
• Pro-active and flexible working approach
• Knowledge of the business domains is a plus: Insurance (Life/Non-life), Banking
• Team-player with experience working with international and multi-functional teams
• Self-development skills to keep up to date with fast-changing trends

Qualifications

Primary Skills:

• Proficiency in programming languages such as Python or Scala
• Solid experience with ETL tools, database management systems and data integration techniques
• Proficient in database query languages such as SQL and NoSQL

Secondary Skills :

• AWS Platforms: Glue (Console, Studio, Crawler, Job, Data Catalog, DataBrew), Athena
• Insurance or banking domain

• Working time: Permanent