6 of 6 Parquet Jobs in the UK excluding London

data orchestration tools (Airflow, Step Functions, etc.).Databricks or AWS certifications.Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

cloud-native services, Spark and Databricks capabilities including notebooks, jobs, workflows and Delta Lake.Work confidently with common data formats and storage patterns such as Parquet, Delta, CSV, JSON and structured/semi-structured datasets, ensuring data is modelled, curated, documented and made available in a reliable and reusable way.Act ...

Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications• Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications• Advanced Data Management – Strong SQL design, query optimization ...

Storage, and SQL/NoSQL technologies. Experience monitoring and supporting production ML environments. Knowledge of data engineering practices and tools. Familiarity with GRIB, NetCDF, Parquet, and JSON is advantageous. Azure Data Scientist Associate certification is desirable. If you have the relevant skills and experience, please do apply promptly ...

other genome browser Experience working in a multi-person team delivering production services Experience with large-scale biological datasets Experience working with the Apache Parquet file format Experience implementing AI/ML approaches for quality control and/or genome annotation Behaviours we value in our team: You bring ...

backend logic and data services.Build and optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including … CloudWatch.Experience building RESTful APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform.Containerisation with Docker.Data-engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter ...