126 to 142 of 142 Apache Spark Jobs in the UK

nPreferred qualifications, capabilities, and skills\ N\nExperience designing/implementing pipelines using DAGs (e.G. Kubeflow, DVC, Ray)\ NExperience of big data technologies (e.G. Spark, Hadoop)\ NHave constructed batch and streaming microservices exposed as REST/gRPC endpoints\ NFamiliarity with GraphQL\ N\n#CIBAppliedAI\ NABOUT US\nJ.P. Morgan is a global ...

business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands‐on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars … 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. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs ...

engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to‐end system design: from feature stores ...

insights that drive the AI product roadmap forward. Tech Stack Includes : AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Requirements Experience: Minimum 3 years of post-degree commercial experience in a data science ...

scripting and data engineering. Core Tech Stack: Deep proficiency with Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests . Data Ecosystems: Strong background in building native … Python ETL pipelines for data scraping/processing. Big Data experience or knowledge of Spark is highly advantageous. ⚠️ Important Note for Applicants Recent Hands-On Code Execution is Required: This role is for a pure, active developer. If your recent experience has drifted into pure management or architecture without ...

finance functions and their future role within enterprisesStrong analytical skills and the ability to translate ambiguity into clear narratives, stories and teachings that would spark CFO action.Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholdersStrong organizational skills; ability to work under tight deadlines and produce high ...

Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger ...

validation (e.g., schema tests, data quality checks). Manage data documentation and lineage within DBT. Design and develop scalable data pipelines using Databricks and Apache Spark. Build and optimize data workflows for batch and real-time processing. Transform and process large datasets using PySpark, SQL, and Delta Lake. Implement … terraform enterprise , Snowflake terraform provider knowledge. Snowflake : Snow sight , Python SDK for snowflake , Stage , storage integration , Data marketplace , direct shares , listings , catalog linked database , Apache Iceberg , external tables , Catalog integrations , Snowpipe , external volume , Cortex ai ,privatelink. Airflow : Dag creation , operators , connections , deployment on Kubernetes , Astronomer. DBT. ...

model lifecycle: data prep, experimentation, deployment, and monitoring. \n\n \n \n Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. \n\n \n \n Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. … prompt engineering. \n\n \n \n Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. \n\n \n \n Experience with Databricks, Spark, and Delta Lake. \n\n \n \n Strong SQL skills with experience working on large datasets. \n\n \n \n Experience with AWS, including ...

driven solutions. Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. AI-Assisted Analytics: Bring experience … practices, AI capabilities, advanced analytics and automation practices. You will need Experience developing robust data products that are actionable and scalable. Expertise of using Spark, Dremio, Teradata or other SQL technologies. Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. Experience with ...

Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads.\ N \n - Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. \ N \n - AI-Assisted Analytics … advanced analytics and automation practices.\ N \nYou will need\ N - Experience developing robust data products that are actionable and scalable.\ N - Expertise of using Spark,Dremio, Teradata or other SQL technologies.\ N - Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. ...

Data Architect Inside IR35 up to £600+ Nottingham Hybrid Summary We're undertaking a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, and we are growing ...

coupled with a strong interest in continuous learning. Flexibility to travel up to 20% of the time. Preferred Technical and Professional Experience Experience with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink ...

processing, including vector databases, fine‐tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands‐on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Experience communicating and teaching technical … driving our values through ML. Preferred: 2+ years customer‐facing experience in a pre‐sales or post‐sales role. Preferred: Experience working with Apache SparkTM to process large‐scale distributed datasets. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire. Can travel ...

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure ...

field), or equivalent relevant work experience Preferred Qualifications Experience using managed ML/AI solutions Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. ...

scalability Build and integrate RESTful microservices within a complex distributed architecture Work with large-scale data sets, leveraging SQL and big data tools (e.g., Spark, Kafka) Influence system design and contribute to the technical roadmap Collaborate closely with a highly skilled engineering team to deliver innovative solutions Requirements Strong … experience building and consuming RESTful services Solid SQL skills and familiarity with large-scale data processing Knowledge of big data technologies such as Spark and Kafka Experience in finance is preferred, but not essential Strong academic background, ideally in Computer Science or a related discipline #J-18808-Ljbffr ...