We are looking for brilliant and talented Senior Data Engineer to join our Data Engineering Dream-Team, within the Big Data & Analytics / Commercial Dept.
You’ll collaborate in a friendly, young, passionate, fast-paced and challenging customer-focused environment, to drive Wind Tre forward on its Data-Driven transformation journey.
If you like creating new visions for the future, if you have a natural curiosity and a creative mind, and you’re eager to work in a collaborative context, we would like to meet you!
Main 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 cases
Required Skills
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)
3+ 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
Education
MSc in Computer Engineering, Computer Science or other related disciplines
Candidati per questo lavoro →
You’ll collaborate in a friendly, young, passionate, fast-paced and challenging customer-focused environment, to drive Wind Tre forward on its Data-Driven transformation journey.
If you like creating new visions for the future, if you have a natural curiosity and a creative mind, and you’re eager to work in a collaborative context, we would like to meet you!
Main 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 cases
Required Skills
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)
3+ 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
Education
MSc in Computer Engineering, Computer Science or other related disciplines
