1 to 25 of 45 Remote Amazon EMR Jobs

goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into … to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine More ❯

decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience More ❯

teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end More ❯

Leverage Python to develop robust ETL workflows and data-processing scripts. Architect, deploy, and manage cloud-based data systems on AWS (e.g., S3, Redshift, EMR). Collaborate with product and analytics teams to ensure data availability, quality, and accessibility. Monitor and troubleshoot system performance, ensuring scalability and reliability. Qualifications More ❯

and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big More ❯

processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB) Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue) Familiarity with programming languages such as Python or Java Understanding of data warehousing concepts and data modeling techniques Experience working with big data More ❯

with technologies such as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with More ❯

team ownership of cloud infrastructure Beneficial Experience: AWS certifications Familiarity with SIEM solutions and Security Incident Management Cybersecurity awareness or certification Data engineering familiarity (EMR, ETL) Coaching or mentoring experience Key Behaviours: Excellent problem-solving skills Flexibility to experiment and adapt quickly based on results Strong team collaboration and More ❯

Previous experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Practical knowledge Experience of major operating platforms and their linkage, connectivity functions and issues Cloud Security - Experience/skills of addressing More ❯

and orchestration tools like Docker and Kubernetes. Knowledge of time-series or analytics databases such as Elasticsearch. Experience with AWS services like S3, EC2, EMR, Redshift. Familiarity with data monitoring and visualization tools such as Prometheus and Grafana. Experience with version control tools like Git. Understanding of Data Warehouse More ❯

in London. Our team designs, develops, and operates all data systems across the company, including ETL processes, data warehouses, real-time click streams, and EMR to support content personalization for our users. We are looking for someone to help us evolve our data architecture and technology stack. Our primary More ❯

Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. Requirements: AWS: S3, Lambda, EMR, SMS, SQS, and additional services related to data infrastructure Terraform Databricks Data Lake, Warehouse, Lakehouse architecture and design Python/Pyspark Data platforms and More ❯

skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's More ❯

skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's More ❯

skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's More ❯

skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's More ❯

DBT and Airflow. Experience with CI/CD and infrastructure-as-code, within AWS cloud. Also desirable - familiarity with AWS' data tools such as EMR, MWAA, MSK You are Someone who loves collaboration - our teams are cross functional and you'll be working with other engineers, team leads and More ❯

DBT and Airflow. Experience with CI/CD and infrastructure-as-code, within AWS cloud. Also desirable - familiarity with AWS’ data tools such as EMR, MWAA, MSK You are Someone who loves collaboration - our teams are cross functional and you’ll be working with other engineers, team leads and More ❯

cloud infrastructure for Big Data applications. Hands-on experience of working with AWS services, including but not limited to EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, etc. Good experience in setting up reliable & scalable cloud networking that is highly secured. Extensive experience with Terraform, including writing, testing, and More ❯

to design for performance, reliability, and cost-effectiveness. Cloud & Infrastructure Knowledge: You have hands-on experience with cloud platforms, specifically AWS services like S3 , EMR , Glue , and Athena . You are familiar with containerization (Docker, Kubernetes) and orchestration tools like Airflow . What you will get in return More ❯

and know how to design for performance, reliability, and cost-effectiveness. You have hands-on experience with cloud platforms, specifically AWS services like S3, EMR, Glue, and Athena. You are familiar with containerization (Docker, Kubernetes) and orchestration tools like Airflow. What you will get in return: 70% off HelloFresh More ❯

for data management, security, and compliance. Required Skills: - Active Security Clearance - Proficiency in AWS services related to data processing and storage, such as Amazon S3, Redshift, and EMR. - Strong experience with big data technologies and frameworks. - Solid understanding of data modelling, ETL processes, and database management. - Ability to More ❯

for data management, security, and compliance. Required Skills: - Active Security Clearance - Proficiency in AWS services related to data processing and storage, such as Amazon S3, Redshift, and EMR. - Strong experience with big data technologies and frameworks. - Solid understanding of data modelling, ETL processes, and database management. - Ability to More ❯

level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering to Error Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including More ❯

an AWS Data SME or AWS Data Engineer , working extensively with AWS cloud services. Expertise in AWS Redshift, Glue, Lambda, Terraform, Kinesis, Athena, and EMR . Strong ETL/ELT development and data warehousing experience. Proficiency in Python, Java, or Scala for data processing and automation. In-depth knowledge … of SQL, Apache Kafka, and Amazon RDS . Experience in data security, governance, and compliance best practices . Familiarity with CI/CD pipelines, DevOps methodologies, and monitoring/logging best practices . Strong problem-solving skills , with the ability to work in a collaborative and fast-paced More ❯