1 to 14 of 14 Amazon EMR Jobs with Hybrid or WFH Options

a Senior Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and more »

Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience more »

8+ with experience in Laravel/Symfony desired. JavaScript/TypeScript proficiency with NodeJS and React.JS. Familiarity with AWS Services (Aurora, MSK Kafka, ECS, EMR). 3+ years of database experience, ideally with MySQL. Hands-on experience with various data storage paradigms (e.g., RDMS + Document + KV Stores more »

a good grasp of frameworks like DropWizard. Lakehouse Architectures: Familiarity with modern data technologies such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. AWS Services: Hands-on experience with AWS, especially S3, ECS, and EC2/Fargate. Collaborative Approach: Proven ability to more »

technology presence, and this role will work on leading technologies within a Microservice architecture, with the development stack including Java 8, Spring Framework, Amazon Web Services (including AWS Analytics), Atlassian toolsets (Bamboo, BitBucket), Cucumber automated testing and Tableau. The team is Agile based and operates leveraging a continuous … technology eg DynamoDB Experience using Tableau and data analytics on top of a data hub in AWS Experience with AWS technology such as Amazon Simple Storage Service, lambda, dynamoDB, Amazon Elastic Compute Cloud (EC2) Amazon Elastic MapReduce Experience with Python, Selenium Experience using Maven more »

Redshift, BigQuery) required. 2+ years of experience in a business intelligence role desired. Ability to work efficiently with AWS cloud technologies such as S3, EMR required. 5+ years of SQL experience. 3+ years of experience in Agile SDLC. Solid understanding of ETL/ELT methodologies. Proficiency with Python and more »

AWS and Azure. Define and execute the DevOps strategy, including CI/CD pipelines and automation. Design and manage Big Data solutions, including AWS EMR, EMR Studio, and Azure Databricks. Manage cloud costs and budgets effectively. Qualifications: 7+ years experience managing cloud infrastructure, automation, or DevOps teams will more »

plus of experience in a technical leadership roleExperience in one of the main cloud services (AWS, Google Cloud or Azure) and Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, Snowflake, etc.)Experience Skilled in use of the Power Platform, including Power Apps, Power Automate and Power BIAdvanced knowledge of more »

enhance their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the more »

enhance their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the more »

machine learning models and computational resources for real-time inferencing. Process big data using Datalake/Datawarehouse and ETL tools (Athena, Amazon EMR, Amazon Redshift). Implement CI/CD pipelines for cloud and edge deployment of ML models. Orchestrate databases for ML predictions. Support more »

AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL more »

delivering projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. more »

English Bachelor's degree in Computer Science or a related field (Master's degree preferred) Nice to have: experience with LLMs, Vector Databases, AWS EMR, Spark, and Python Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to more »