17 of 17 Amazon EMR Jobs in England

Proactive, collaborative, and delivery-focused mindset Desirable Skills Knowledge of open table formats (Iceberg, Delta) Experience with additional AWS services (CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis) Data modelling Job scheduling and orchestration tools Data virtualisation tools (e.g. Denodo) ALM tools (Jira, Confluence) CI/CD tooling (GitLab, Terraform) Reporting ...

nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile environments • Good ...

data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

Agile, multidisciplinary teams Strong analytical and problem-solving skills Clear communicator and collaborative team player Desirable Python, Docker, Airflow Big data tools (e.g. Spark, EMR) Experience with data platforms or risk/fraud systems How You'll Work Deliver value iteratively and early Collaborate closely across disciplines Write simple ...

warehousing environments Advanced Python skills for data engineering, automation and AI/ML integration Hands-on experience with AWS services (e.g. S3, Glue, Lambda, EMR, Bedrock or custom model hosting) Practical experience developing and evaluating GenAI/LLM models Strong understanding of RAG architectures, embeddings and vector databases Experience ...

data warehousing. Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. Hands‐on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock/custom model hosting). Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. Solid understanding of RAG architectures, embeddings ...

Nice-to-have skills: Knowledge of Open Table Formats (Iceberg/Delta). AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis. Data modelling Job scheduling/orchestration Data virtualisation tools (Denodo) ALM Tooling (Jira, Confluence) CI/CD toolsets (GitLab, Terraform) Reporting tools (Business ...

data warehousing. Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. Hands‐on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock/custom model hosting). Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. Solid understanding of RAG architectures, embeddings ...

data platforms Deep expertise in Snowflake architecture Hands-on experience with Airflow/MWAA and dbt Strong knowledge of AWS data services (S3, EMR, PySpark) Experience designing Data Lakehouse architectures (Iceberg preferred) Expertise in performance tuning and optimisation Nice to Have CI/CD and DevOps practices Terraform/ ...

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 ...

Snowflake Data quality, governance, lineage, and documentation experience Experience working with enterprise-scale data environments Nice to Have AWS data stack experience S3, Glue, EMR, PySpark, or Iceberg Traditional ETL tooling experience such as ODI, Informatica, Talend, or SSIS Strong understanding of end-to-end data ingestion and transformation ...

required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure ...

required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure ...

required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure ...

data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly to henry.clay ...

individual one or part of a team) Architect and optimize ETL/ELT pipelines using services such as: DBT, AWS Glue, Lambda, Kinesis, S3, EMR Design high performance Snowflake data models (3NF, dimensional, Data Vault, etc.) Optimize query performance, clustering, micro-partitioning, and resource consumption Work closely with Data … expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation is a plus) Hands ...

Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration 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, LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab ...