20.02.2024 aktualisiert
100 % verfügbar
Principal Data Engineer
Martinsried, Deutschland
Deutschland
PhD in Psychology, Bachelor in Computer ScienceSkills
Profile:
Passionate leader with more than nine years of professional experience in the areas of data and cloud. Experienced in driving data solutions from initial ideas towards systems running in productive environments and measurably contributing to business KPIs. Accustomed to create architectural designs and to align roadmaps and strategies with C-level executives. Adept in evolving organizational structures by creating teams, hiring new colleagues and managing change.
Services:
Analytics Strategy, Cloud Engineering, Consulting, Data Architecture, Data Engineering, Machine Learning, Product Ownership, Project Management, Software Engineering, Statistical Analysis
Tools & Technologies:
Apache Hadoop, Apache Kafka, Apache NiFi, Apache Solr, Apache Spark, Apache ZooKeeper, Dataform, Docker, Elasticsearch, FastAPI, Google BigQuery, Google Bigtable, Google Cloud Build, Google Cloud Composer / Apache Airflow, Google Cloud Run, Google Cloud Scheduler, Google Cloud Workflows, Google Dataflow / Apache Beam, Google Pub/Sub, Google Vertex AI, Kubeflow, Java, Keras, Kubernetes, Python, R, SPSS, SQL, SpaCy, Spring Boot, TensorFlow, Terraform, AI, PyTorch, TensorFlow, KI, Keras
Passionate leader with more than nine years of professional experience in the areas of data and cloud. Experienced in driving data solutions from initial ideas towards systems running in productive environments and measurably contributing to business KPIs. Accustomed to create architectural designs and to align roadmaps and strategies with C-level executives. Adept in evolving organizational structures by creating teams, hiring new colleagues and managing change.
Services:
Analytics Strategy, Cloud Engineering, Consulting, Data Architecture, Data Engineering, Machine Learning, Product Ownership, Project Management, Software Engineering, Statistical Analysis
Tools & Technologies:
Apache Hadoop, Apache Kafka, Apache NiFi, Apache Solr, Apache Spark, Apache ZooKeeper, Dataform, Docker, Elasticsearch, FastAPI, Google BigQuery, Google Bigtable, Google Cloud Build, Google Cloud Composer / Apache Airflow, Google Cloud Run, Google Cloud Scheduler, Google Cloud Workflows, Google Dataflow / Apache Beam, Google Pub/Sub, Google Vertex AI, Kubeflow, Java, Keras, Kubernetes, Python, R, SPSS, SQL, SpaCy, Spring Boot, TensorFlow, Terraform, AI, PyTorch, TensorFlow, KI, Keras
Projekthistorie
Main delivery: Analytics infrastructure on the Google Cloud Platform
Tasks: Technical Domain Leadership, Analytics Strategy, Data Architecture, Data Engineering, Cloud Engineering
Tools & Technologies: Google BigQuery, Google Cloud Run, Google Vertex AI Pipelines / Kubeflow, Dataform, Google Cloud Scheduler, Google Cloud Workflows, Google Cloud Build, Terraform, Docker, Python, FastAPI, SQL
Tasks: Technical Domain Leadership, Analytics Strategy, Data Architecture, Data Engineering, Cloud Engineering
Tools & Technologies: Google BigQuery, Google Cloud Run, Google Vertex AI Pipelines / Kubeflow, Dataform, Google Cloud Scheduler, Google Cloud Workflows, Google Cloud Build, Terraform, Docker, Python, FastAPI, SQL
Main delivery: New data warehouse solution on the Google Cloud Platform
Tasks: Foundation of a product group (five teams), Disciplinary Leadership, Data Architecture, Data Engineering, Cloud Engineering
Tools & Technologies: Google Dataflow / Apache Beam, Google BigQuery, Google Bigtable, Google Pub/Sub, Google Cloud Run, Google Cloud Build, Terraform, Docker, Java, Python, FastAPI, SQL
Tasks: Foundation of a product group (five teams), Disciplinary Leadership, Data Architecture, Data Engineering, Cloud Engineering
Tools & Technologies: Google Dataflow / Apache Beam, Google BigQuery, Google Bigtable, Google Pub/Sub, Google Cloud Run, Google Cloud Build, Terraform, Docker, Java, Python, FastAPI, SQL
Main delivery: New search machine learning solution for matching and ranking
Tasks: Foundation of a product team, Product Ownership, Data Engineering, Data Science, Machine Learning, Cloud Engineering
Tools & Technologies: Google Cloud Composer / Apache Airflow, Google BigQuery, Elasticsearch, Keras, TensorFlow, Google Cloud Build, Python, SQL
Tasks: Foundation of a product team, Product Ownership, Data Engineering, Data Science, Machine Learning, Cloud Engineering
Tools & Technologies: Google Cloud Composer / Apache Airflow, Google BigQuery, Elasticsearch, Keras, TensorFlow, Google Cloud Build, Python, SQL