Data Engineer - Leading Telco company
Page Personnel
Milano, Lombardia
20h fa
source : Talent Manager

Leading Telco companyMain responsibilities and activities

  • Industrialize highly scalable data pipelines covering the end to end data lifecycle, from discovery to production. Contribute to standardize conceptual and logical data model
  • Process large-scale multi-structured information (multi-variate, heterogeneous sources, large volume, raw data) and guarantee optimized data sets
  • Work tightly with Data Scientists in an agile and collaborative environment to deliver advanced analytics and AI use casesRequired Skills
  • MSc in Computer Engineering, Computer Science or other related disciplines
  • Demonstrated experience in Data pipelining / ETL and Data architectures. Experience with object-oriented and functional programming, software engineering and testing patterns for large-scale data processing
  • Proficiency with Hadoop Stack (Apache Hadoop, Spark, Beam, Kafka) and open source ecosystem
  • Knowledge of SQL and NoSQL Database (such as MongoDB and Neo4j). Familiarity with Python, Java, JavaScript, SQL
  • Fluent in data wrangling and preparation (exploratory analysis, profiling & cleansing, feature engineering)
  • Strong working knowledge on programming languages (Python, SQL), Python libraries (e.g. Pandas, Numpy, Matplotlib, Seaborn, Tensorflow) and DevOps tools (Git, Airflow, Dataflow, Kubernetes)
  • Preferred : Knowledge of Deep Learning models and open source frameworks (Keras, TensorFlow, PyTorch)
  • 2+ years of proven experience in Data Engineering roles, in major consulting firms or big international companies
  • Preferred : knowledge of GCP such as BigQuery, DataProc, DataFlow, Pub / Sub
  • Preferred : experience with B2B business and product offering
  • Preferred : working experience on Telco companies, data engineering applied to Commercial use, data pipelining, cleansing, preparation
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