15 of 15 Parquet Jobs in the UK

facing documentation. Preferred Criteria Experience with real-time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred ...

environment. Experience working with distributed data processing frameworks such as Apache Spark . Working knowledge of common data formats such as JSON , Avro and Parquet . Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise ...

patterns (Debezium or equivalent) Stream processing (Apache Flink, Spark Structured Streaming, or equivalent) SQL and query optimisation at scale Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake) Experience designing SaaS data models, tenant isolation, shared schemas, access patterns, at scale. Ability to communicate architecture decisions ...

issues across Foundry, Databricks and AWS. Desirable Skills Experience with Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder or Code Repositories. Experience with Delta Lake, Parquet, Iceberg, CSV and JSON. Data governance, lineage, secure data-sharing and access approval experience. Python, PySpark or SQL development experience. CI/CD experience ...

issues across Foundry, Databricks and AWS. Desirable Skills Experience with Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder or Code Repositories. Experience with Delta Lake, Parquet, Iceberg, CSV and JSON. Data governance, lineage, secure data-sharing and access approval experience. Python, PySpark or SQL development experience. CI/CD experience ...

Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Terraform or similar Infrastructure as Code experience. Good understanding of Delta, Parquet, CSV and JSON data formats. Strong troubleshooting, documentation and stakeholder communication skills. Desirable Skills Palantir Foundry experience, especially Databricks connector, Data Connection, datasets, syncs ...

schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge ...

access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

C#/.NET | Reading Java | HTTP/JavaScript development/CGI | Claude Code use but with demonstrable manual programming ability | DuckDB/Parquet/PostgreSQL | Windows Scripting (.bat/PS1) | Excel Macros & VBA Technical Skills Experience using SQL and/or other relevant coding languages for data extraction, analysis ...

Docker, and Kubernetes Familiarity with One of the following programming languages: Elixir, Python, Java, C#, C++, Rust One of the following data formats: Parquet, Delta Lake, Iceberg Pricing, risk management, and portfolio analytics Exchange-traded financial assets, statistics, or financial engineering Data structures and design/analysis of algorithms ...

high‐yield, private credit, distressed, and the data pain points those teams have. Fluent in how data and quant teams actually consume APIs today. Parquet, DuckDB, Polars, Snowflake shares, not just pandas in a Jupyter notebook. You can rip through a notebook live on a call. Exposure to MEDDPICC ...

infrastructure or data platform Strong #Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership Data platform: #LanceDB, #DataFusion, #Arrow, Parquet, Iceberg Training infra: #PyTorch, Ray, multi-node distributed setups Inference: Triton, model ensembles, production reliability Multimodal pipelines: TB-scale video, embedding, and #metadata #datasets ...

processing (face detection, quality assessment, tracking) Improve training performance across single and multi-node setups using PyTorch and Ray Build evaluation and experimentation systems (Parquet/Iceberg) for model output analysis Own model versioning, lifecycle management, and promotion to production Optimise inference pipelines using Triton; build model ensembles … loading, preprocessing Practical distributed systems experience (Ray, DDP, or similar) Experience handling TB-scale or high-throughput data pipelines Familiarity with columnar formats: Arrow, Parquet, Iceberg Nice to Have Exposure to video or visual media pipelines (FFmpeg, encoding, frame extraction) Vector search or embedding system experience Triton or production ...