11 of 11 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 ...

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 ...

standards such as metrics and use of test tools Here's a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We'd love to hear from you if you have: Good experience in creating ...

Strong scripting abilities in SQL, Python, and/or PowerShell. Data Formats: Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK). Problem Solving: Exceptional troubleshooting, automation, and analytical capabilities. How to Apply Please include your most recent CV and a brief summary ...

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 ...

data - grounded in a desire to genuinely understand the data‐generating processes and domain context. Comfortable working across common data formats (e.g. CSV, JSON, Parquet) - loading, inspecting, joining, and aggregating as needed - and understanding what it means for the work when data is slowly changing versus arriving in near ...

tools, methods, and frameworks used by data scientists Familiarity with data engineering practices and tools. Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus. Azure data scientist associate certificate is plus ...

PostgreSQL, and cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing ...

PostgreSQL, and cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing ...

relational database knowledge, including data extraction and quality management Experience working with Data Warehouse and ETL processes, alongside formats such as CSV, JSON and Parquet Excellent stakeholder management skills with the ability to influence decision-making at all levels of the business Successful candidates must be able to obtain ...

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 ...