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Senior Data Scientist
Location WrocławView full detailsGodel is on the lookout for talented Senior Data Scientist to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are enthusiastic and ambitious specialist, willing to take active participation in shaping of a product, this job is for you! You will be responsible for:
- using machine learning to identify patterns and trends by analyzing, interpreting, enriching, and running experiments on data to improve our clients’ products and services
- working alongside data engineers, MLOps engineers, software engineers, etc to help build-out a core suite of data products and services
- communication with both technical and non-technical audiences to contribute to securing the necessary support and funding
- advanced knowledge of ML and deep learning
- experience in building recommendation engines
- experience in developing senior stakeholder relationships
- experience with cloud platforms, infrastructure, and delivery (Amazon Web Services)
- fluency of Python, Scikit-learn, TensorFlow, Keras, and common machine learning packages
- Speaking English at least B1+ level
- Natural language processing
- Embeddings & Transformers
- Data dictionaries and advanced documentation
- Data Mining
- Deep learning
- Search Technologies
- Exploratory Data Analysis
- Predictive Analytics
- Statistical modelling
- Data Visualization, compliance and governance policies
- Text analytics
- Big data
- Structured query language (SQL)
Senior Data Scientist
Location ŁódźView full detailsGodel is on the lookout for talented Senior Data Scientist to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are enthusiastic and ambitious specialist, willing to take active participation in shaping of a product, this job is for you! You will be responsible for:
- using machine learning to identify patterns and trends by analyzing, interpreting, enriching, and running experiments on data to improve our clients’ products and services
- working alongside data engineers, MLOps engineers, software engineers, etc to help build-out a core suite of data products and services
- communication with both technical and non-technical audiences to contribute to securing the necessary support and funding
- advanced knowledge of ML and deep learning
- experience in building recommendation engines
- experience in developing senior stakeholder relationships
- experience with cloud platforms, infrastructure, and delivery (Amazon Web Services)
- fluency of Python, Scikit-learn, TensorFlow, Keras, and common machine learning packages
- Speaking English at least B1+ level
- Natural language processing
- Embeddings & Transformers
- Data dictionaries and advanced documentation
- Data Mining
- Deep learning
- Search Technologies
- Exploratory Data Analysis
- Predictive Analytics
- Statistical modelling
- Data Visualization, compliance and governance policies
- Text analytics
- Big data
- Structured query language (SQL)
Middle / Senior Data Engineer (AWS)
Location WrocławView full detailsGodel is on the constant lookout for talented Data Engineer to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to Big Data development. If you are enthusiastic and ambitious developer, willing to take active participation in shaping of a product, this job is for you! You will be responsible for:
- Design and development of data platform based on Big Data cloud services from AWS
- Writing batch & stream data processing solutions, ETL processes, automated workflows
- Testing data pipelines and data quality using modern approaches
- Implementing industry’s best practices for collecting, transforming and accessing data
- Communication with the customer and working directly with the Customer team
- Working within an agile team
- Understanding of Cloud platforms such as AWS and desire to work with the following services: Amazon S3, EC2, ECR, AWS Batch, Amazon DynamoDB, Amazon Athena, Amazon Redshift
- Experience of working with data pipelines: ETL/ELT, Data Quality and Data Management. Preferable technologies like: Apache Airflow, Apache Kafka, Apache Spark
- Knowledge in at least one of the programming languages Python, Java
- Intermediate level of English
- Exposure to operation of business-critical data products
- Ci/CD: Git, Terraform, Jenkins, Test driven approach (TDD/BDD)
- Metrics and Notifications: Prometheus, Grafana
- Scala is advantageous
- Enthusiasm for agile and lean development
Middle / Senior Data Engineer (AWS)
Location ŁódźView full detailsGodel is on the constant lookout for talented Data Engineer to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to Big Data development. If you are enthusiastic and ambitious developer, willing to take active participation in shaping of a product, this job is for you! You will be responsible for:
- Design and development of data platform based on Big Data cloud services from AWS
- Writing batch & stream data processing solutions, ETL processes, automated workflows
- Testing data pipelines and data quality using modern approaches
- Implementing industry’s best practices for collecting, transforming and accessing data
- Communication with the customer and working directly with the Customer team
- Working within an agile team
- Understanding of Cloud platforms such as AWS and desire to work with the following services: Amazon S3, EC2, ECR, AWS Batch, Amazon DynamoDB, Amazon Athena, Amazon Redshift
- Experience of working with data pipelines: ETL/ELT, Data Quality and Data Management. Preferable technologies like: Apache Airflow, Apache Kafka, Apache Spark
- Knowledge in at least one of the programming languages Python, Java
- Intermediate level of English
- Exposure to operation of business-critical data products
- Ci/CD: Git, Terraform, Jenkins, Test driven approach (TDD/BDD)
- Metrics and Notifications: Prometheus, Grafana
- Scala is advantageous
- Enthusiasm for agile and lean development
LEAD BIG DATA ENGINEER (AWS)
Location WrocławView full detailsGodel is on the constant lookout for talented Lead Big Data Engineer to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are enthusiastic and ambitious developer, willing to take active participation in shaping of a product, this job is for you! These are just some of the technologies that you might work with at Godel Data Division:
- Data Integration: Apache Airflow (MWAA)g
- Data Processing: Apache Kafka (MSK), Apache Spark (EMR), Amazon Kinesis, AWS Batch
- Database & Data Warehouse: Amazon DynamoDB, Amazon Redshift, Amazon Athena
- Storage: Amazon S3, Amazon Glue
- Technical requirements elicitation
- Providing technical leadership for the customer
- Consult and collaborate with team members
- Design and development of data platform (data lake) based on cloud services from AWS
- Developing batch & stream data processing solutions, ETL processes, automated workflows
- Testing data pipelines and data quality using modern approaches
- Implementing industry’s best practices for collecting, transforming and accessing data
- Code review
- Communication with the customer and working directly with the Customer team
- Working within an agile team
- Talent Management
- Talent Acquisition
- Education
- Innovations
- Onboarding
- Consultancy
- Strong knowledge of AWS Cloud platform and desire to work with the following services: Amazon S3, EC2, ECR, AWS Batch, Amazon DynamoDB, Amazon Athena, Amazon Redshift
- Deep experience of working with data pipelines: ETL/ELT, Data Quality and Data Management. Preferable technologies like: Apache Airflow, Apache Kafka, Apache Spark
- Good knowledge in at least one of the programming languages Python, Java
- Excellent communication and negotiation skills
- Exposure to operation of business-critical data products
- CI/CD: Git, Terraform, Jenkins, Test driven approach (TDD/BDD)
- Metrics and Notifications: Prometheus, Grafana
- Enthusiasm for agile and lean development