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Data Engineer

Responsibilities

Data Engineer (m/f/d) in Central or Eastern Europe

  • Help to shape the Data Infrastructure and Process enabling the use of data to create Insights and Data Products
  • Develop, construct, test and maintain data architectures
  • Handle all data related activities such as data parsing, cleansing, quality definitions, pipelining, storage, maintenance of ETL scripts etc.
  • Support in building complex queries required by the platform teams
  • Handle data integration, consolidation and reconciliation activities for digital products
  • Provide governance support to ensure the data is stored and managed as per industry practices Manage deployment of analytics programs, machine learning and statistical methods
  • Support data preparation activities for analytics including pipelining, data cleansing and web scrapping
  • Help shape the data team and its procedures. As a member of a newly created group, there is a lot to contribute to
  • Profile
  • Hands on experience in data engineering projects such as writing SQL queries, SPARQL queries, data pipelining, API provisioning, database optimization / maintenance etc.
  • Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system
  • Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application
  • Experience with NoSQL & relational databases (SQL, MySQL, PostgreSQL, Cassandra, Hive, MongoDB, etc.)
  • Knowledge of data architecture concepts such as database systems, schemas, data lakes etc. Worked with scalable architectures (lambda, containers etc.)
  • Understanding of the Big Data, Hadoop ecosystem
  • Able to code in Python, our preferred tech stack
  • Comfortable working with our tools: AWS, Mesos, GitLab, Jira, Docker, Kubernetes, Airflow and an instinct for automation
  • Desired personal/professional interest in the agricultural segments
  • Desired knowledge of AWS Data stack: AWS Glue, S3, Athenas, Redshift
  • Desired Kafka knowledge

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