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AWS Data Engineer

Added: Over a month ago

Key information

Type: Other
Level: regular


Used Technologies/Tools:
Key: AWS, PySpark, Python, Snowflake, SQL, Terraform

Required technologies /tools

Big Data

other requirements

Experience: 3+
Foreign language: English
Department/project description:
Insights & Data practice delivers cutting-edge data centric solutions.Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP. We are responsible for full SDLC of the solution: apart from using data processing tools (eg, ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.

Your daily tasks:
  • design and implementation of solutions processing large and unstructured datasets (Data Mesh, Data Lake or Streaming Architecture),
  • implementation, optimization and testing of modern DWH/Big Data solutions based on AWS cloud platform and Continuous Delivery / Continuous Integration environment,
  • data processing efficiency improvement, migrations from on-prem to public cloud platforms.
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