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Data Engineer @ DCV Global Recruitment
1 miesiąc temu
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
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
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