101 to 125 of 297 Apache Spark Jobs in England

security Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands-on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large-scale data and machine learning systems. An understanding of feature stores and related data technologies used to support ...

such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large‐scale data and machine learning systems. An understanding of feature stores and related data technologies used to support ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, Facebook. At Databricks, we strive to provide comprehensive benefits and perks ...

Direct knowledge of Matillion’s Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor’s or Master’s degree in Computer Science ...

Direct knowledge of Matillion's Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor's or Master's degree in Computer Science ...

Direct knowledge of Matillion's Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor's or Master's degree in Computer Science ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence … scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

efficiency, and cost-effectiveness. o Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: o Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. o Develop and maintain data processing logic for cleaning, enriching, and aggregating data. o Ensure data consistency … accuracy throughout the data life cycle. Azure Databricks Implementation: o Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. o Implement best practices for Databricks development and deployment. o Optimise Databricks workloads for performance and cost. o Need to program using ...

restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement. Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel. What you’ll bring to the role At least 4 years … scripts, with a particular focus on building and optimizing multi‐threaded, multi‐process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI‐powered solutions using Large Language Models (LLMs), retrieval ...

security controls. Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services Palantir Foundry Stakeholder Engagement ...

Azure SQL Database, or Azure Data Factory Experience with Python or another object-oriented programming language Experience with Azure Databricks and/or Apache Spark Experience with reporting or visualisation tools such as Power BI, MicroStrategy, or similar platforms Experience with CI/CD workflows, including automated build ...

project stakeholders; Strong problem-solving skills; Ability to refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge ...

root‐cause analysis Experience building or supporting production data pipelines in a collaborative engineering environment Experience with distributed data processing frameworks such as Apache Spark Working knowledge of JSON, Avro and Parquet Nice to have: technical design ownership across multiple datasets or pipeline domains, experience guiding implementation standards ...

+ ETL/ELT experience Knowledge of Python/T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape ...

preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud-based data science solutions. DataOps principles and practices. Structured and unstructured databases. ...

data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with container technologies ...

Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated environments Experience delivering solutions within highly regulated industries such as government, finance or healthcare Security ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non-technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

auction systemsExcellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructureExperience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

implementing data quality checks and validation frameworks (e.g. dbt tests, Soda, or similar). Familiarity with data pipeline orchestration and transformation tools (e.g. Airflow, Spark, dbt). Experience with cloud-based data platforms, ideally AWS. Understanding of data modelling and data lifecycle concepts. Experience with data observability, monitoring ...

degree, or experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based ...

degree, or experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based ...

degree, or experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based ...