8 of 8 Amazon EMR Jobs

Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client … Noir Consulting. (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) NOIRUKTECHREC NOIRUKREC ...

data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured … development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache ...

data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms ...

expertise with Infrastructure as Code (Terraform) Experience working with GitLab and implementing CI/CD pipelines Practical experience building data pipelines in AWS (e.g. EMR, PySpark) Solid understanding of ETL tooling (e.g. Informatica or similar) Strong background in data processing and transformation Proficiency in Python and PySpark Essential Requirements ...

functional teams to deliver end-to-end solutions Key Skills & Experience: Strong expertise in AWS cloud services, including: CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing … Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena for data querying and validation Strong understanding of EMR and log analysis Experience with GitLab for CI/CD pipelines, release tagging, and version control Knowledge of Docker and containerisation Understanding of encryption ...

Kotlin/Java programming.Solid understanding of the Hadoop ecosystem, including Spark, Hadoop, and Hive.Strong experience with cloud platforms and data infrastructure, especially AWS, including EMR, S3, and Glue.Experience working in Agile environments and contributing through code reviews, design discussions, and collaborative development.Strong communication skills, with the ability to work ...

pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data quality, automated testing … equivalent). Experience integrating with major EHR platforms (Epic, Cerner, Meditech, or similar). Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling such as Terraform. Comfortable operating across customer ...

regulated environment. AWS Experience: You have a strong working knowledge of AWS and cloud‐first data pipeline orchestration tools (like Airflow, Glue, or EMR). A Security Mindset: You understand the importance of compliance and security when managing sensitive data pipelines. Strong Automation Skills: You are highly comfortable using ...