13 of 13 Amazon EMR Jobs in the UK excluding London

data models and Data Lake designs around stated use cases to capture KPIs and data transformations. Identify relevant AWS services - on Amazon EMR, Redshift, Athena, Glue, Lambda, to design an architecture that can support client workloads/use-cases; evaluate pros/cons among the identified options More ❯

Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows More ❯

Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows More ❯

Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus A team player - we highly regard collaboration. Knowledge More ❯

NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala More ❯

to improve model performance and integrate insights. The successful candidate will: Have proficiency with AWS cloud services such as SageMaker, Lambda, S3, Step Functions, EMR, and Glue. Understand the machine learning development cycle, including data engineering, analysis, modeling, and operations. Design and implement scalable ML solutions, develop predictive models More ❯

JDK 1.8) & prefer to have some experience with Spring Boot. Good to have experience using AWS cloud services (e.g., EC2, S3, Lambda, MSK, ECS, EMR, RDS, Athena etc. ) Experience working with Maven, Jenkins, Git etc. Understanding of database concepts and working knowledge with any of the vendors (Preferably Oracle More ❯

years of experience in scaling SaaS services and infrastructure Goal-driven, positive attitude with strong communication skills Proficient in AWS services, including EC2, RDS, EMR, VPC networking, S3, etc. Comfortable with one or more of: Python, Ruby, Java, Groovy, Bash Working knowledge with one or more of: Terraform, Ansible More ❯

for customer data Implement least access principle Ensure reliability and security of microservices Skills and Requirements Proficiency in AWS services, such as EC2, RDS, EMR, VPC networking, S3, etc. Experience with programming languages like Python, Ruby, Java, Groovy, and Bash Familiarity with infrastructure as code tools like Terraform and More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills … AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills … AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience More ❯

and analyze business requirements to develop scalable and efficient data solutions on AWS. Design and implement data pipelines using various AWS services such as EMR, Glue, Kinesis, and Redshift. Develop data models and ETL processes to efficiently transform and load data into AWS data lakes and data warehouses. Work … environment. Strong proficiency in SQL and experience with designing and maintaining data warehouses and data lakes. In-depth knowledge of AWS services such as EMR, Glue, Kinesis, and Redshift. Hands-on experience with data pipeline development, ETL processes, and data modeling on AWS. Strong leadership and project management skills More ❯

working in a collaborative, delivery-focused team. What You'll Bring Strong Java development experience (Spring Boot, Microservices) Proficiency with AWS services (Java Spark, EMR, Lambda, native AWS databases) Experience with Kubernetes and EKS Strong understanding of cloud infrastructure and distributed systems A proactive mindset with a focus on More ❯