1 to 25 of 28 Apache Spark Jobs in the South West

Role As a Senior Data Engineer, you'll take ownership of the design, development and optimisation of production-grade data solutions using Databricks, Apache Spark and Delta Lake. Your responsibilities will include: Designing, building and optimising scalable ETL/ELT data pipelines using Databricks, PySpark and Spark … engineering skills with the ability to take technical ownership of complex data solutions. You'll ideally have: Strong commercial experience with Databricks Excellent PySpark, Apache Spark and Spark SQL skills Experience building production-grade ETL/ELT pipelines Strong knowledge of Delta Lake and Lakehouse architecture Experience ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end‐to‐end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non‐relational, document ...

ready data processing solutions using BigQuery, Pub/Sub, Dataflow and DataprocExperience developing end-to-end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non-relational, document ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands‐on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud-native data platforms, particularly within AWS Familiarity with Docker, Kubernetes and CI/ ...

Python, Java or Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data ...

continuous learning to understand new data management systems Strong proficiency in hands-on development using industry-standard tools and languages (e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering … analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management and data lake optimization Experience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure, GCP), including migration from legacy systems Advanced proficiency in designing ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting ...

/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready ...

Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience ...

Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python ...

architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team ...

/Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/ ...

Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies e.g. NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages It is essential for this ...

work effectively with technical teams including Data Scientists and MLOps Engineers. Experience working with Data Science and/or MLOps environments. Experience with Apache Spark. Experience with Scala. Experience working with S3 and cloud storage technologies. Experience with graph databases. Experience with Elasticsearch. Experience with vector databases/vector ...

effectively with technical teams including Data Scientists and MLOps Engineers. Desirable Skills Experience working with Data Science and/or MLOps environments. Experience with Apache Spark. Experience with Scala. Experience working with S3 and cloud storage technologies. Experience with graph databases. Experience with Elasticsearch. Experience with vector databases/ ...

Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

looking for a mixture of the following skills: Python Kubernetes Docker CI/CD basics (Gitlab pipelines) Data science and MLOps knowledge (highly desirable) Spark (highly desirable) Scala (highly desirable) S3 (highly desirable) Graph databases (highly desirable) Elasticsearch (highly desirable) Vector stores (highly desirable) OIDC/OAuth (highly desirable ...

Automated system deployment using tools such as Ansible, Puppet or ChefDesirable Skills/Experience Familiar with the Big Data tech stacks, including: o Trinoo Spark o Apache Hiveo Apache Airflowo Zeppelin notebooksOur PackageTailored benefits make a real difference. That's why we offer a comprehensive range ...

DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python, Java, Scala, Spark and SQL. Write scripts, develop APIs and SQL queries, and contribute to the design and deployment of scalable cloud-based data platforms. Work closely … data environment. Strong experience with AWS cloud technologies and data engineering services. Hands-on experience with one or more of Python, Java, Scala, Spark and SQL. Experience working with large-scale structured and unstructured datasets. Understanding of data ingestion, processing, transformation and integration. Strong analytical and problem-solving skills. ...

DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python, Java, Scala, Spark and SQL. Write scripts, develop APIs and SQL queries, and contribute to the design and deployment of scalable cloud-based data platforms. Work closely … data environment. Strong experience with AWS cloud technologies and data engineering services. Hands-on experience with one or more of Python, Java, Scala, Spark and SQL. Experience working with large-scale structured and unstructured datasets. Understanding of data ingestion, processing, transformation and integration. Strong analytical and problem-solving skills. ...