with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and More ❯
Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and More ❯
e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP More ❯
e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Bit Bio
AWS. Working with a variety of stakeholders and cross-functional teams, performing analysis of their data requirements and documenting it. Big data tools and stream-processing systems such as: Hadoop, Spark, Kafka, Storm, Spark-Streaming. Relational SQL and NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and analysis. Data pipeline and workflow More ❯
BASIC QUALIFICATIONS - 3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in More ❯
production setting Excellent critical thinking, writing and verbal communication skills High level of competence in Python, Spark, and Unix/Linux scripts Demonstrable experience using distributed systems (for example, Hadoop, Hive, Impala) Extensive experience with SAS/SQL/Hive for extracting and aggregating data Experience with time series modelling problems Deep learning experience with TensorFlow Additional Information Visa More ❯
production setting Excellent critical thinking, writing and verbal communication skills High level of competence in Python, Spark, and Unix/Linux scripts Demonstrable experience using distributed systems (for example, Hadoop, Hive, Impala) Extensive experience with SAS/SQL/Hive for extracting and aggregating data Experience with time series modelling problems Deep learning experience with TensorFlow Additional Information Visa More ❯
