20 of 20 Amazon EMR Jobs

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 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 ...

Proactive, collaborative, and delivery-focused mindset Desirable Skills Knowledge of open table formats (Iceberg, Delta) Experience with additional AWS services (CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis) Data modelling Job scheduling and orchestration tools Data virtualisation tools (e.g. Denodo) ALM tools (Jira, Confluence) CI/CD tooling (GitLab, Terraform) Reporting ...

nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile environments • Good ...

extraction solutions using RESTful APIs and modern integration techniques * Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis * Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets * Contribute within an Agile delivery environment ...

standards Essential Skills & Experience Databricks engineering - strong hands-on experience Azure data stack - Data Lake, ADF, Functions, DevOps AWS data services - Glue, Lambda, S3, EMR (or equivalent) Python & SQL - production-grade coding CI/CD - Git-based workflows, automated deployments Stakeholder communication - able to operate autonomously and influence senior ...

ongoing platform improvements Mentoring junior engineers where required Key Skills & Experience: Strong Python development experience Experience working with AWS services such as S3, Glue, EMR, Lambda, CloudWatch, IAM and DynamoDB Knowledge of Apache Spark and PySpark Experience with Apache Airflow for orchestration Strong SQL and data analysis capabilities Experience ...

large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining … transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting ...

hands-on Snowflake experience Solid understanding of modern cloud data architectures and Lakehouse concepts Familiarity with AWS services including S3, Glue, Athena, RDS, and EMR Confident communicator able to work with both technical and non-technical stakeholders Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts ...

Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/ ...

required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure ...

required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure ...

Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills Experience navigating complex data governance, security, and compliance ...

loss Enable CDC-based replication and minimal downtime migrations across heterogeneous systems Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR Architect and implement scalable, secure, and highly available data platforms on AWS Drive schema conversion and modernization strategies (heterogeneous migrations where applicable) Optimize performance … Redshift (data warehousing) Experience designing and implementing data validation and reconciliation frameworks Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent) Deep proficiency in SQL and data modeling concepts Experience working with S3-based data lakes and Glue Data Catalog Strong understanding ...

experience with ML libraries such as scikit‐learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/ ...

Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify … changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both Server Side and client-side encryption Use of GitLab ...

Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify … changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab ...

governance frameworks Data modeling and schema design for analytics workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation … data center or data center to cloud infrastructure Data security, compliance, and access controls Performance optimization for data processing workloads Big data processing platforms (EMR, Glue) Amazon is an equal opportunities employer and does not discriminate on the basis of protected veteran status, disability, or other legally ...

DevOps practices to support advanced analytics and machine learning workloads. Key Responsibilities • Cloud Architecture & Development • Design and implement solutions using AWS services such as EMR, SageMaker, DynamoDB, ElasticSearch, ECS Fargate, and RDS. • Ensure high availability, scalability, and security of cloud-based applications. Big Data Engineering • Develop and optimize data … deployments. • Collaborate with operations teams to streamline release processes and improve system reliability. Required Skills & Experience • Strong hands-on experience with AWS Cloud Services (EMR, SageMaker, DynamoDB, ElasticSearch, ECS Fargate, RDS). • Proficiency in Big Data programming using PySpark. • Solid experience in API development with Python frameworks (Flask/ ...

Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential … alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead ...