7 of 7 Remote/Hybrid Parquet Jobs in London

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. ...

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 ...