22 of 22 Permanent Apache Spark Jobs in Manchester

engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience ...

maintain SC clearance. Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security ...

Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit ...

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 ...

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 ...

latest Databricks innovations and bringing fresh thinking to clients What We're Looking For You will likely have: Lakehouse Architecture Unity Catalog Spark MLflow Strong Python and SQL skills Experience building ETL/ELT pipelines, data lakes and modern analytics platforms Cloud expertise (any of the following: Azure ...

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 ...

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 ...

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured ...

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 ...

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 ...

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. ...

technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. Discover more about ...

Roku in Manchester is looking for a Senior Data Engineer to join the Viewer Product Device & Themed Experiences team. You will design data models and build scalable pipelines across Roku devices, apps, and web/ ...

depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools ...

lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while providing ...

Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation ...

depth actually gets used. • AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis • Databricks and Snowflake running on top of AWS • Spark and distributed processing frameworks for large-scale data • Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools ...

spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern web applications. With a globally distributed presence across the US, India, and Europe, the team thrives on collaboration, bringing together diverse perspectives … Computer Science or equivalent practical experience Experience developing finance applications is a plus Working experience with Terraform is a plus Experience creating workflows for Apache Airflow is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...

spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives … needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, LambdaWorking ...

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. ...

build these systems with industry standard frameworks and tools, such as React and Angular on the front end with Java, Spring Boot and Apache Kafka on the back end. All of this runs on our cutting edge cloud delivery platform, facilitating over 60k releases to production a year. … while delivering high-impact projects. Although not a requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will ...