Our client, is a world-leading digital payments network that removes barriers and connects people.

We're urgently seeking a Data Engineer 🚀

Remote, Poland

Salary range up to 250-265 USD /day

🦾 In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include: 

• Assembling large, complex sets of data that meet non-functional and functional business requirements 
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes 
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using new or existing technologies 
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 
• Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues 
• Working with stakeholders including the data science, product, TPM, software teams to support their data infrastructure needs while assisting with data-related technical issues 

✅ Basic Qualifications: 

• 5 years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field. 
• Proficiency in SQL and experience with other programming languages such as Python, Java, or Scala. 
• Experience with big data tools and frameworks such as Hadoop, Spark, or Hive. 
• Strong experience in ETL (Extract, Transform, Load) tools and processes. 
• Familiarity with databases and data warehousing solutions, both relational (like MySQL, Oracle) and non-relational (like MongoDB, Cassandra). 
• Knowledge of data modeling and data architecture. 
• Experience in automation and setup scheduling jobs on Hadoop like Apache Tuber or other tools 
• Experience with kafka or flink steaming data to hadoop is a plus 
• Experience with cloud services like AWS, Google Cloud, or Microsoft Azure is plus 
• Experience with data visualization tools and BI tools like Tableau, Power BI etc. can be a plus. 

Innovation is in our DNA, if you feel the same way, send your CV ✔