3 of 3 Remote/Hybrid Hadoop Jobs in London

Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. Familiarity with data visualisation tooling such as Plotly. Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive Base salary ...

About the Job you are considering: We are seeking a highly experienced Data Engineer ( Hadoop/Spark/Scala/Python) to join our Financial Services Data Practice. You will have deep hands‐on expertise in Hadoop, Spark, Scala, Python. Hybrid working: The places that you work from … needs, and those of the business; it will be a blend of Company offices, client sites, and your home. Your Role: Design and develop Hadoop based applications and data pipelines Build operate monitor and troubleshoot Hadoop clusters Write scalable ETL processes using tools like Hive Pig and Spark ...

Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production … Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code ...