26 to 50 of 56 Amazon EMR Jobs in the UK

Proficiency in Python, Scala, or Java in a production data platform context Solid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda, or equivalents) Track record of managing, recruiting, and developing high-performing remote engineering teams Ability to translate long-term platform vision into executable ...

proficiency in Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem‐solving ...

comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools. Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also ...

ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks … environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines ...

ingesting, transforming and processing data from multiple sources • Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies • Design data models and storage approaches appropriate to analytical and operational requirements • Develop solutions using Python, SQL and modern data engineering frameworks … environments • Strong experience designing and delivering data solutions on AWS • Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements • Strong Python and SQL skills • Experience designing and building scalable ETL/ELT pipelines ...

transformation patterns. Proficiency in data quality assurance, data governance, and query optimization. Nice to have: Familiarity with the AWS data ecosystem (S3, Glue, EMR/PySpark, Apache Iceberg). Non-Technical Skills & Competencies Proven sense of ownership, commitment, and personal accountability. Meticulous attention to detail with a proactive problem ...

transformation patterns. Proficiency in data quality assurance, data governance, and query optimization. Nice to have: Familiarity with the AWS data ecosystem (S3, Glue, EMR/PySpark, Apache Iceberg). Non-Technical Skills & Competencies Proven sense of ownership, commitment, and personal accountability. Meticulous attention to detail with a proactive problem ...

Proficiency in Python (preferred), with experience in other languages like Java, Scala, or TypeScript Strong knowledge of cloud-based big data tools (AWS, Spark, EMR, Lambda, etc.) Excellent communication and problem-solving skills, with a collaborative mindset A passion for supporting SMEs through innovative, data-led technology Background ...

TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow ...

Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify … changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab ...

practical knowledge of: View21 – Core View and Pre-View Anti-Money Laundering (AML) Way4 Cards Auto Loans AWS PySpark SAP BODS Informatica AWS Glue EMR and Serverless Spark IAM Secrets Manager CloudWatch Microsoft SQL Server You will also have strong SQL, data validation and troubleshooting skills, with experience testing ...

Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns with demonstrated experience architecting end-to-end data solutions Experience navigating complex data ...

solve them Some extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD Prior experience in the fraud domain and a strong understanding of fraud detection techniques Experience designing and deploying LLM-based solutions in production ...

technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic and Braintrust More information Enjoy fantastic perks like ...

Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills: Experience navigating complex data governance, security, and compliance ...

large-scale data platform or data warehouse migration (cutover, reconciliation, parallel running, decommissioning) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...

vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities ...

What they're looking for: Previous experience as a Technical Lead (hands-on) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...

Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore … decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture Design ...

production rather than for novelty. You don't need to know all of it on day one. Data and compute: S3, Athena, Spark on EMR, SQLOrchestration and MLOps: Airflow, MLflow, Docker, ECS, Terraform, GitHub Actions for CI/CDModels: foundation models served through Amazon BedrockAgents: LangGraph … orchestration, deployed and run on Amazon Bedrock AgentCore, with MCP for tool integrationEvaluation: Braintrust for evals, tracing and monitoring agent quality in productionMore information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme ...

Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning Job ID: 10590990 | Amazon EU SARL (UK Branch) **This is a 1 Year FTC contract** Are you passionate about building data solutions that power decisions at massive scale? As a Data Engineer II at Amazon … Experience in data engineering Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases/data stores (object storage, document or key-value stores, graph ...

code to architects and developers Excellent communication skills and a desire to impart knowledge Added bonus if you have Experience with Spark Experience with EMR Experience as a Solution Architect AWS Solution Architect Associate Certification What we offer you A multifaceted job with a high degree of responsibility ...

does Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

does Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

does Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...