1 to 25 of 28 Remote Amazon EMR Jobs

complex business requirements and drive 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 with modern programming languages such More ❯

the following: Proven experience as 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 environment . Preferred Qualifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect/ More ❯

data storage, processing, and retrieval mechanisms for performance and cost-efficiency. Automate deployment, monitoring, and maintenance tasks using AWS services such as AWS Glue, AWS Lambda, Amazon EMR, etc. Conduct performance tuning and optimization of data processing workflows to ensure high availability and reliability. Stay up-to-date with the latest AWS technologies and trends in data … related field. Proven experience as a Data Engineer, Data Architect, or similar role with a focus on AWS technologies. In-depth knowledge of AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, etc. Strong programming skills in languages such as Python, Scala, or Java. Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. More ❯

to be successful in this role: 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 Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with basic knowledge of the … with team members, stakeholders and end users conveying technical concepts in a comprehensible manner Skills across the following data competencies: SQL (AWS Athena/Hive/Snowflake) Hadoop/EMR/Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation Data Transformation DevOps - data pipelines Controls - selection and build Reference More ❯

ll have experience working in 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-to-end software development lifecycle More ❯

data pipelines using Apache Spark. 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 Experience: 2-4 years as More ❯

proficiency in SQL, ETL 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 technologies (e.g., Hadoop, Spark More ❯

data requirements, and define analytics 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 AWS for analysis. Apply advanced … statistical and machine learning techniques 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 engagement strategies. Collaborate with data … preferably in a cloud-based 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 learning techniques. 6.Proficiency in programming More ❯

a big data architecture. Work 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 engineering teams to integrate data More ❯

Experience with proactive management and 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 communication skills Proactive ownership of More ❯

Apache NiFi. Experience with containerization 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 and ETL concepts; familiarity with More ❯

to join our Engineering team 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 programming language is Python, although More ❯

data integrity and security. Collaboration: 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 notebooks: Jupyter, Databricks, Azure Gitlab More ❯

ETL/ELT tooling including 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 product managers to deliver great More ❯

and Pyspark AWS glue jobs assembled into Step functions Pydeequ for data quality testing Amazon Athena for querying data Hosted on AWS, using S3, Glue, Step functions, EMR, and Athena Terraform for Infrastructure as Code Our code is open source and we use Git and GitHub for source control If you are interested in this role, please More ❯

role. Experience of deploying & managing 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 deploying Terraform scripts. Strong understanding More ❯

ETL development, infrastructure optimization, and deployment of scalable solutions for our programmatic advertising platform. What You'll Do Operate and evolve our big data stack on AWS (including MSK, EMR, Kinesis, Glue, and MWAA) Design, implement, and optimize ETL pipelines for large-scale data processing Collaborate with the Data Science team to prepare and manage datasets for model training … cloud Participate in R&D activities: evaluating new tools, improving system performance, and ensuring scalability What We're Looking For Knowledge of AWS data services: MSK (Kafka: message broker), EMR (Spark/Flink), Glue, Kinesis, MWAA (Airflow) Basic understanding of cloud environments (preferably AWS) Basic experience with infrastructure-as-code tools (e.g., Terraform, AWS CDK, or CloudFormation) Strong interest More ❯

working with distributed data systems, 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 or Green Chef boxes Company More ❯

experience with Amazon Web Services (AWS), including but not limited to core IaaS (IAM, VPC, EC2, S3, EBS, ELB) and native AWS PaaS Services (Lambda, AWS Config, EMR, Athena, EKS, etc.) Hands-on experience with Azure public cloud, including core (compute, storage, networking) platform, PaaS and IAM offerings. Infrastructure experience (Server Administration, Networking, Storage, Security) A commitment More ❯

and performance. - Implement best practises 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 work effectively in a team More ❯

and performance. - Implement best practises 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 work effectively in a team More ❯

Software Engineering using a high 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 tracking RTO and RPO CryptoCurrency More ❯

Develop a data validation framework to automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software More ❯

working in a customer-facing role (IT Support, HelpDesk, Retail, and similar) Experience with AWS, GCP, and Kubernetes Distributed file system Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Knowledge of JIRA, Github, or Gitlab Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch Nice To Have More ❯

from the model, with a focus on AWS S3 storage. • Collaborate with the development team to implement architectural changes and system tweaks. • Work with AWS services such as Lambda, EMR, and DynamoDB to optimize data management processes. • Utilize Spark for data processing and analysis tasks. • Ensure the integrity and security of data during the extraction and processing stages. • Troubleshoot … programming is essential. Strong understanding of cloud technologies, including AWS services such as S3, Lambda, and DynamoDB. Demonstrated experience with database management and backend development. Familiarity with tools like EMR and Spark for data processing. Ability to work independently and as part of a collaborative team. Excellent problem-solving and analytical skills. Prior experience in financial or mortgage industries More ❯