18 of 18 Amazon EMR Jobs

business decisions. Responsibilities for the AWS Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions Implement and optimise ETL More ❯

data pipelines. Collaborate with data scientists and analysts to ensure data quality, availability, and consistency for advanced modeling and reporting. Utilize AWS or other cloud services (e.g., S3, Glue, EMR, Snowflake) to architect and maintain cloud-based data ecosystems. Write and optimize complex SQL queries for data extraction, integrity checks, and performance tuning. Required Technical Skills 5+ years of More ❯

years in a technical leadership or management role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical and non More ❯

and delivering production-grade software and data systems. Proficiency in Python, Java, or Scala - comfortable writing robust, testable, and scalable code. Deep experience with AWS (Lambda, ECS/EKS, EMR, Step Functions, S3, IAM, etc.). Strong knowledge of distributed systems and streaming/data pipelines (Kafka, Spark, Delta, Airflow, etc.). Familiarity with infrastructure-as-code (Terraform, CloudFormation More ❯

site Must be SC cleared, or eligible to obtain SC-level security clearance Job description We are looking for a developer with expertise in Python, AWS Glue, step function, EMR cluster and redshift, to join our AWS Development Team. You will be serving as the functional and domain expert in the project team to ensure client expectations are met. More ❯

SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data More ❯

SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data More ❯

SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data More ❯

SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data More ❯

management with proven success in largescale data platform delivery Deep expertise in MDM systems ETL tools and data integration frameworks Strong handson experience with AWS services EC2 S3 Glue EMR Lambda IAM CloudFormation etc Familiarity with PySpark Kafka TALEND and CICD pipelines Jenkins GitHub Experience in data governance metadata management and data quality frameworks Excellent communication stakeholder engagement and More ❯

optimization. Experience with ServiceNow for incident/change/problem management. Excellent analytical, troubleshooting, and communication skills. Nice to Have Exposure to cloud-based Big Data platforms (e.g., AWS EMR Familiarity with containerization (Docker, Kubernetes) and infrastructure automation tools (Ansible, Terraform Note: If you are interested, please share your updated resume and suggest the best number & time to connect More ❯

projects. Required Skills & Qualifications: Demonstrable experience in building data pipelines using Spark or Pandas. Experience with major cloud providers (AWS, Azure, or Google). Familiarity with big data platforms (EMR, Databricks, or DataProc). Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes. Drive for self-improvement and eagerness to learn new programming languages. Ability More ❯

or similar roles. Technical expertise with data models, data mining, and segmentation techniques. Proficiency in Python, Scala, SQL, and scripting languages. Experience with Big Data platforms such as Databricks, EMR, Hadoop. Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure. What's in it for me? Opportunity to work with cutting More ❯

What We’re Looking For Experience building data pipelines using Spark or Pandas . Familiarity with major cloud platforms (AWS, Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures (Data Lakes, Warehouses, Mesh). A proactive mindset with a passion for learning new technologies. Nice-to-Have Skills Automated data quality More ❯

programming languages like Java, or Python development. 2+ years hands-on with AWS Lambda, SNS/SQS, S3, KMS, IAM, CloudWatch, EC2, RDS and DynamoDB, AWS CLI, Cloud 9, EMR SPARK, Glue, Athena, Lake Formation Fluency with CI/CD toolsets such as: CloudFormation, BitBucket Working knowledge of AWS Serverless architecture Working knowledge of Relational database management systems and … programming languages like Java, or Python development. 2+ years hands-on with AWS Lambda, SNS/SQS, S3, KMS, IAM, CloudWatch, EC2, RDS and DynamoDB, AWS CLI, Cloud 9, EMR SPARK, Glue, Athena, Lake Formation Fluency with CI/CD toolsets such as: CloudFormation, BitBucket Working knowledge of AWS Serverless architecture Working knowledge of Relational database management systems and … data integration tools. IDEAL CANDIDATE: - AWS- Redshift, EMR, Athena, - 3 plus years - Python/C++ or any programming language background _ SQL/Oracle or SQL Server experience plus on Data analytics, data mgt, Data Warehouse knowledge. More ❯

and maintain the data platform Building infrastructure and data architectures in Cloud Formation, and SAM Designing and implementing data processing environments and integrations using AWS PaaS such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Building data processing and analytics pipelines as code, using python, SQL, PySpark, spark, CloudFormation, lambda, step functions, Apache Airflow Monitoring and reporting on the … have 6+ years of experience in a Data Engineering role. Strong experience and knowledge of data architectures implemented in AWS using native AWS services such as S3, DataZone, Glue, EMR, Sagemaker, Aurora and Redshift. Experience administrating databases and data platforms Good coding discipline in terms of style, structure, versioning, documentation and unit tests Strong proficiency in Cloud Formation, Python More ❯

site Must be SC cleared, or eligible to obtain SC-level security clearance Job description We are looking for a developer with expertise in Python, AWS Glue, step function, EMR cluster and redshift, to join our AWS Development Team click apply for full job details More ❯

then will eventually be sitting in Frt. Lauderdale, FL. Candidates should be senior Data Engineers with big data tools (Hadoop, Spark, Kafka) as well as AWS (cloud services: EC2, EMR, RDS, Redshift) and NOSQL. This is a phone and Skype to hire. Candidates in Florida with a LinkedIn profile preferred but not required. Essential Duties and Responsibilities: • Past experience … or Google Cloud • Experience with big data tools: Hadoop, Spark, Kafka, etc. • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra • Experience with AWS cloud services: EC2, EMR, RDS, Redshift • Experience with stream-processing systems: Storm, Spark-Streaming, etc. • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. • Strong hands-on personality … or Google Cloud • Experience with big data tools: Hadoop, Spark, Kafka, etc. • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra • Experience with AWS cloud services: EC2, EMR, RDS, Redshift • Experience with stream-processing systems: Storm, Spark-Streaming, etc. • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. IDEAL CANDIDATE: Experience More ❯