1 to 25 of 54 Parquet Jobs in England

storage and exchange formats for each workload, including row‐based and columnar storage, Delta and Iceberg table formats, and file and message formats (e.g. Parquet, CSV, Excel, XML, JSON, Protobuf). Optimise platform performance and cost, including partitioning vs. liquid clustering, file sizing, Photon, and cluster and SQL warehouse ...

best practices for structuring data for analytics, reporting and downstream consumption Confident working with large, complex datasets across various formats (databases, Excel, CSV, JSON, Parquet, APIs), while optimising performance Experience integrating data from social platforms such as YouTube and Meta, or working with advertising, audience, performance and revenue data ...

similar cloud-specific services. Transformation & Orchestration tools Database Technologies Libraries & Schema Management Storage Formats: Familiarity managing diverse data types through formats like JSON and Parquet Containerisation DevOps and DataOps We are interested in Engineers with a solid understanding of DevOps to enable ownership of cloud infrastructure and different environments ...

similar cloud-specific services. Transformation & Orchestration tools Database Technologies Libraries & Schema Management Storage Formats: Familiarity managing diverse data types through formats like JSON and Parquet Containerisation DevOps and DataOps We are interested in Engineers with a solid understanding of DevOps to enable ownership of cloud infrastructure and different environments ...

with Azure data services (Azure Data Factory, ADLS Gen2, Azure SQL, Synapse or Databricks)Solid understanding of data warehousing and lakehouse concepts, Delta/Parquet formats and dimensional modeling (Kimball)Experience with Real-Time Intelligence (Eventstreams, Eventhouse/KQL, Activator)Ability to turn architecture documents and requirements into working ...

Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps and DataOps Experience of IaC tools, particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies ...

Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps and DataOps Experience of IaC tools, particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies ...

paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work ...

Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with building data ingestion pipelines from REST API data sources. Strongability to produce technical documentation that can be understood ...

Fabric, Medallion and Data Products. Hands on mindset : Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON. Agile Ways of Working Run and contribute to agile ceremonies, helping to shape and improve the agile process Work with ...

supporting non‐technical stakeholders in getting the most out of the data warehouse Experience ingesting and processing structured and unstructured files (CSV, JSON, XML, Parquet, PDF) from a variety of sources, including cloud storage buckets and third‐party exports. Desired but not essential skills and experience include Broader Google ...

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 ...

sources Knowledge of Azure DevOps, repositories and CI/CD pipelines. Desirable Skills: C#/.NET development experience. Bash/Linux. Azure Blob Storage, Parquet, DuckDB and bulk data loading. SSDT/DACPAC. Experience migrating legacy systems into modern cloud platforms. Experience with containerisation and API-based integrations. Familiarity ...

integration.Exposure to Market Data systems, financial data models, or vendor contract management domains.Experience with high-performance analytics engines or in-memory data processing (DuckDB, Parquet, Kafka).Education & ExperienceBachelor’s/Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.Track record of technical delivery and leadership ...

evolve the platform. Experience is helpful, but not essential:* **Languages:** Python, SQL, Terragrunt, JavaScript* **Cloud:** AWS (primary), some GCP* **Warehouse & Storage:** Snowflake, S3/Parquet* **Data & ETL:** dbt, Fivetran* **Platform & Infra:** Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault* **Observability:** Datadog, Grafana* **Dashboarding:** Preset* **Other**: Claude### **What ...

Modern Tech Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset Other: Claude WHAT ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation ...

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 ...

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 ...

modelling and transforming data between different formats. Knowledge of cloud platforms, ideally Azure, alongside Spark and Databricks. Familiarity with data storage technologies such as Parquet and Delta Lake. Experience with Docker, Kubernetes, Git/GitHub and Linux/Unix environments. Ability to contribute to shared codebases and collaborative development ...

Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling and tracking Circle CI for continuous deployment Parquet and Delta file formats on S3 for data lake storage Spark for data processing SparkSQL for analytics Why else you'll love it here ...

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 ...

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 ...

scalable environments for our data platforms. You will leverage cloud-native technologies and AWS tools such as AWS S3, EKS, Glue, Airflow, Trino, and Parquet, while preparing to adopt Apache Iceberg for even greater performance and flexibility. You’ll tackle high-performance data workloads, ensuring seamless execution of massive ...

Docker, and Terraform. Hands-on experience designing or operating storage systems: time-series databases, columnar formats, or analytics engines (e.g., ClickHouse, TimescaleDB, Druid, InfluxDB, Parquet). Experience with streaming or data processing technologies such as Kafka, Apache Arrow, Flink, or Spark. Comfort reasoning about distributed systems tradeoffs: latency vs. ...