18 of 18 Amazon EMR Jobs in the South East

methodologies. Required Experience & Skills Proven experience as a Data Engineer with a strong focus on AWS cloud technologies. Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Athena, EMR, and DynamoDB. Strong programming skills in Python and SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation More ❯

methodologies. Required Experience & Skills Proven experience as a Data Engineer with a strong focus on AWS cloud technologies. Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Athena, EMR, and DynamoDB. Strong programming skills in Python and SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation More ❯

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you: As a Data More ❯

on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you: As a Data More ❯

will have strong Python development skills (must be able to design and write clean, maintainable, and testable code). Extensive AWS expertise, particularly across: Lambda Glue Glue Data Catalog EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 More ❯

ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

alongside Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus … Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as More ❯

of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools , Docker , CI/CD More ❯

of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools , Docker , CI/CD More ❯

of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools , Docker , CI/CD More ❯

data platform, with responsibilities including: Designing and implementing scalable data pipelines using Python and Apache Spark Building and orchestrating workflows using AWS services such as Glue , Lambda , S3 , and EMR Serverless Applying best practices in software engineering: CI/CD , version control , automated testing , and modular design Supporting the development of a lakehouse architecture using Apache Iceberg Collaborating with … engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills and a collaborative mindset Comfortable working in Agile environments and engaging with stakeholders Bonus Skills Experience with Apache Iceberg or similar table formats (e.g., Delta Lake More ❯

and fine-tune query performance on Aurora Postgres and other relational databases. Architect and manage data solutions on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and … extensible, and testable code. Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience with data modelling and More ❯