26 to 50 of 58 Parquet Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

. Experience with SQL and noSQL environments, Azure SQL database and Storage Account – blob is must Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus. Knowledge of PowerShell, Git, ARM templates, Bicep, Terraform and deployment automation using Azure DevOps. Experience in using tooling such ...

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 ...

these capabilities responsibly. Modern Data Platform Expertise You're familiar with contemporary data platforms and tools, including data lakes, open table formats such as Parquet and Iceberg, ETL and ELT pipelines, multiple query engines, and BI tools such as Power BI. You're comfortable working across cloud environments including ...

Role Description The Technical Analyst – Data Lineage will support a Data Governance, Controls, and Reporting program for a top-tier banking client. Responsible for establishing and validating end-to-end lineage across critical datasets used ...

definition Kubernetes for data services and task orchestration Argo CD for application deployments Airflow purely for job scheduling and tracking CircleCI for continuous deployment Parquet and Delta file formats on S3 for data lake storage Postgres/Aurora for our relational databases Spark for data processing dbt for data ...

experience Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.) Airflow/Algo for workflow management Git Any exposure to compressed file formats, such as Parquet or HDF5, is highly advantageous Linux/Bash skills are highly desirable Job title: Data Analyst Client: Elite FinTech Salary ...

Glue Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet and Iceberg tables. Strong experience with Terraform for infrastructure automation. #J-18808-Ljbffr ...

Useful: Experience engineering systems for the cloud-based storage and processing of large datasets or using frameworks such as Spark and open standards like Parquet and Arrow. Experience working with other cloud and related technologies, such as Docker and Kubernetes. Experience working as a software developer in the quantitative ...

SSIS, Azure Data Factory and related cloud services. Support API-based integrations, with Workday integration experience considered good to have. Contribute to data snapshotting, Parquet-based storage and Fabric/lakehouse development where required. Apply good engineering practices, including source control, testing, peer review, monitoring and controlled deployments. Identify ...

ability to analyse and address issues and queries quickly and effectively.* Recent hands-on experience with Python plus SQL Server and ideally some Parquet exposure.* Evidence of strong delivery throughout the entire lifecycle.* Strong problem-solving skills and capability to write code quickly and accurately, plus experience of troubleshooting ...

Role Description The Business Analyst/Project Manager will support a transformation program for a top-tier banking client, aligned to an ECB Remediation approach. The Technical Analyst will support a Data Governance & Controls remediation ...

Job Title Senior Data Engineer Job Description Summary Senior Data Engineer | Databricks | Agentic AI | EMEA & APAC We are the team leading the data transformation of our EMEA and APAC business, and we are hiring a ...

engineering experience: schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds of terabytes. Experience with columnar formats such as Parquet or Arrow, or comparable domain‐specific formats used for event logs, telemetry, or replays. Experience designing and operating services or platforms used by other ...

data contracts/Interface Control Documents (ICDs) to support reliable integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop … routing, transformation and orchestration. Experience of data modelling and schema design, including defining data contracts or Interface Control Documents (ICDs). Experience working with Parquet and S3-compatible object storage. Experience integrating REST APIs and troubleshooting data exchanges between systems. Experience deploying or supporting data solutions within OpenShift ...

building agent-driven data workflows. Google Cloud; services such as Cloud Run, GKE, Artifact Registry and Cloud SQL. Modern columnar and array formats (Parquet, Arrow, Zarr) and thoughtful storage layout for large datasets. Infrastructure as Code (IaC); ideally Terraform, Docker containers. Experience working with sensitive data under GDPR, HIPAA … transfer controls and provenance tracking. Background in biology, medicine or biomedical data (genomics, transcriptomics, proteomics, EHR, clinical images). Key Skills Python, GCP, DICOM, Parquet, Image Data, Cloud, SQL, BigQuery All profiles will be reviewed against the required skills and experience. Due to the high number of applications ...

Python and best practices. The role requires strong Python skills, experience with cloud platforms (Azure), Spark/Databricks, and data storage technologies such as Parquet/Delta Lake. #J-18808-Ljbffr ...

bring the right engine, from BigQuery to Dataflow to Trino, to the job. The work has two parts. Hecate enables Iceberg for the Parquet datasets that already exist across Spotify, so teams get the benefits without rewriting their data. Alongside it, we're building the foundations ...

Backend: Distributed, event-driven core Java (90% of the code-base), MySQL, Kafka Frontend: Javascript, Vue.js Deployment: Kubernetes, Nomad Data analytics: Python & Jupyter notebooks, Parquet, Docker Testing: JUnit, JMH, JCStress, Jenkins, Selenium, many in-house tools... OS: Linux (Fedora for development, Rocky in production) The LMAX ...

Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog interoperability Apache Arrow and Apache Parquet for in-memory data processing and columnar storage Gradle and Cargo for builds, and GitHub for collaboration You do not need prior experience with ...