22 of 22 Parquet Jobs in the UK excluding London

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-18808-Ljbffr ...

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 ...

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 ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

data integration components and services, including Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse ...

Experience with Delta Lake and Lakehouse architectures Good grasp of data modelling, orchestration and workflow automation Comfortable working with structured and semi-structured data (Parquet, JSON, CSV) Solid understanding of CI/CD and Git-based workflows Experience with data quality checks, testing and monitoring WhyApply? Genuine input into ...

building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed ...

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 ...

ways of working, and presenting these to the community 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 What we're looking for We'd love to hear from ...

sourced systems.Hands-on experience with Apache Spark and Apache Flink.Strong understanding of Apache HTTP, Envoy, and REST API design.Experience working with Protobuf, Avro, and Parquet data formats.Knowledge of Iceberg, Databricks, and Hadoop ecosystems.Skills that will help:Follows TDD, ATDD and Clean Coding practices and used to setting ...

real downstream consumers. Work with economists and engineers to turn modelling decisions into reliable production data. Essential Strong production Python. Datasets in pandas and Parquet/Arrow, plus an analytical engine, e.g. DuckDB, or a warehouse such as Snowflake. Orchestrated batch pipelines you've operated, not just written: Dagster ...

governance Experience designing REST, SOAP, file, batch, legacy and bespoke integrations Knowledge of structured, semi-structured and unstructured data, including CSV, XML, JSON, Parquet and Avro Experience designing solutions across multiple security classifications Strong knowledge of data governance, lineage, metadata, data quality, access control and auditability Strong stakeholder engagement ...

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 ...

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 ...

ticks, Level 1 & 2 quotes, order books, reference data and corporate actions. Implement automated data quality, reconciliation and monitoring frameworks. Optimise data storage using Parquet, Arrow and modern data lake technologies. Partner with quantitative researchers, traders and engineering teams to deliver trusted datasets. Essential Skills Strong Python and SQL. … data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates ...

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 ...

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 … 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 ...