1 to 25 of 44 Parquet Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

reliability of the data provided by the Utility. ResponsibilitiesDesign and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement ...

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 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 ...

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 ...

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 ...

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 ...

technologies as we evolve the platform. Experience is helpful, but not essential: Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Other : Claude What we’re looking for Strong fundamentals and the ability ...

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 ...

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 ...

management, and de-identification processes. Google Cloud Platform expertise, including BigQuery, Cloud Run, GKE, and Cloud SQL. Experience with modern data formats such as Parquet, Arrow, and Zarr. Infrastructure as Code using Terraform and Docker. Experience working within regulated environments involving sensitive healthcare or clinical data. Experience leveraging … coding assistants and agent-driven workflows. Key Technologies Python | GCP | BigQuery | SQL | DICOM | Medical Imaging | ETL/ELT | Cloud Storage | Parquet | AI & Machine Learning Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy. ...

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 ...

Python (3.11+), pandas and NumPy skills. Production-grade Streamlit dashboard development. Data integration using Snowflake, OpenSearch, REST APIs and SQL. AWS experience (boto3, S3, Parquet). Data visualisation with Plotly, Matplotlib or Seaborn. Experience with Docker, Kubernetes, CI/CD and pytest. Knowledge of statistical analysis, anomaly detection ...

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 ...

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 ...