9 of 9 Apache Spark Jobs in Slough

schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services (AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud … Storage). Exposure to workflow orchestration tools (Apache Airflow, Prefect, or Dagster). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

+ 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities trading platform, who are hiring … Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business ...

models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation ...

extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like ...

/multi-region patterns, meeting defined RPO/RTO targets. Hands-On Engineering Write and review production-grade code using: Python, Scala, SQL Spark/AWS Glue AWS Lambda & Step Functions Build infrastructure using Terraform (IaC). Implement CI/CD pipelines (GitLab, Jenkins). Enforce automated testing, performance ...

Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year students in STEM, computer ...

architecture, and network stack optimization. Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming. Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost ...