1 to 25 of 75 Amazon EMR Jobs

Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to … learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

Sr. Delivery Consultant - Data Analytics, Professional Services Job ID: Amazon Web Services Colombia S.A.S. - E40 The Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that … AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

data tools: Hadoop, Spark, Kafka, etc. Relational SQL and NoSQL databases, including Postgres and Cassandra. Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc. Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. More ❯

in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills More ❯

in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills More ❯

in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills More ❯

the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code More ❯

or AWS Kinesis is required Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning. More ❯

Experience: Proven experience as a Senior Data Engineer in a large-scale or complex environment. Strong hands-on expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding of data More ❯

Shell scripting Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake More ❯

Scala Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake More ❯

Shell scripting Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake More ❯

in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB . Essential requirements You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Experience in More ❯

junior engineers and sharing best practices Staying ahead of the curve with emerging data technologies What You'll Bring: Solid hands-on experience with AWS (Glue, Lambda, S3, Redshift, EMR) Strong Python, SQL, and PySpark skills Deep understanding of data warehousing and lakehouse concepts Problem-solving mindset with a focus on performance and scalability Excellent communication skills across technical More ❯

Scala Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake More ❯

Secret clearance Bachelor's degree Nice If You Have: Experience deploying analytics workloads on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or machine learning service Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA Experience with infrastructure as code frameworks More ❯

Hadoop. Solid understanding of data governance principles, data modeling, data cataloging, and metadata management. Hands-on experience with cloud platforms like AWS or Azure, including relevant services like S3, EMR, Glue, Data Factory, etc. Proficiency in SQL and one or more programming languages (Python, Scala, or Java) for data manipulation and transformation. Knowledge of data security and privacy best More ❯

with recovery, optimisation, and automation. Troubleshoot issues and contribute to process/documentation improvements. Experience: Essential: Strong AWS services experience (S3, Redshift, Athena, Glue, Batch, Lambda, Step Functions, SQS, EMR). Terraform (IaC), Airflow (orchestration), CI/CD (YAML, GitLab/GitHub). Python, SQL, Bash. AWS security/IAM, VPC networking, Docker. Backup and disaster recovery knowledge. Problem More ❯

SQL or Scala Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake More ❯

documentation for each project including ETL mappings, code use guide, code location and access instructions. Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers Ensure the pedigree and provenance of the data is maintained such that the access to data is protected Clean and preprocess data to More ❯

documentation for each project including ETL mappings, code use guide, code location and access instructions. Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers Ensure the pedigree and provenance of the data is maintained such that the access to data is protected Clean and preprocess data to More ❯

Engineer role Required Skills: Experience with big data tools: Hadoop, Spark, etc. Experience with relational SQL and NoSQL databases, including Postgres Experience with AWS cloud or remote services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Julia, Java, C++, Scala, etc. Experience with More ❯

solutions for highly sensitive system DESIRED QUALIFICATIONS AWS Certification: Solutions Architect Professional or equivalent Demonstrated experience with cloud technologies used with ETL and big data pipelines such as Glue, EMR, HIVE, Spark, S3, SQS, and SNS Demonstrated experience with Kubernetes or EKS Demonstrated experience using the AWS CDK A candidate must be a US Citizen and requires an active More ❯

LLM tuning, Agent-to-Agent protocols, LangGraph, LangSmith. Experience in prompt engineering and generative AI integration. Skills & Tools Programming: Java, Python, Spring Boot, REST APIs Cloud: AWS (Glue, Kinesis, EMR, Route 53), containerization, serverless architecture Monitoring: OpenTelemetry, Dynatrace, LoadRunner, Splunk Collaboration: Jira, Confluence Testing: Unit, integration, functional, performance Agile: SAFe and Agile methodologies Qualifications Education: Bachelor's Level Degree More ❯

with a public cloud, including AWS, Micro sof t Azure, or Google Cloud 5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 5+ years of experience working on real-time data and streaming applications 5+ years of experience with Agile engineering practices Experience administering Databricks environments on the Advana More ❯