Data Engineer, REMOTE WARSZAWA

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.

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

,[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 ] Requirements: SQL, Scala, Spark, MySQL, Degree, Hive, ETL, Oracle, MongoDB, Data visualization, Cassandra, Python, Microsoft Azure, Data modeling, Kafka, Flink, BI, Google Cloud, AWS, Tableau, CAN