5 of 5 Hadoop Jobs in Glasgow

Senior Java / SQL Developer

Location
Glasgow, Scotland, United Kingdom
Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving abilities. Clear ...

Data Engineer

Location
Glasgow, Scotland, United Kingdom
data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with big data technologies (Spark, Hadoop, Kafka). Knowledge of API integrations and microservices-based data ingestion. Experience working in Agile/Scrum environments. Banking Domain Experience (Mandatory) Experience working ...

Data Engineering Specialist (Snowflake)

Location
Glasgow, Scotland, United Kingdom
We are seeking a Data Engineering Specialist to join the Architecture & Modernization team. You will be instrumental in building and maintaining the data infrastructure for our Data AI platforms. This role will involve hands‐on ...

Senior Service Engineer

Location
Glasgow, Scotland, United Kingdom
AppDynamics and scheduling Tools – TWS and/or Autosys. Some other highly valued skills include: Experience/knowledge of CI-CD pipeline – Gitlab automation, Hadoop, GenAI. Prior experience/knowledge of Banking domain, Financial Crime/AML. Excellent problem-solving, leadership, and conflict resolution skills to interact with customers ...

Senior Data Engineer - AWS

Location
Glasgow, Scotland, United Kingdom
team. What We’re Looking For Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency in AWS cloud environments. Proven experience developing … GDPR. Bonus Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. ...