19 of 19 Permanent Amazon EMR Jobs

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 ...

data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

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 Experience with IaC deployment of AKS/EKS/GKE architecture Experience ...

data warehousing. Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. Hands‐on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock/custom model hosting). Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. Solid understanding of RAG architectures, embeddings ...

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/ ...

data warehousing. Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. Hands‐on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock/custom model hosting). Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. Solid understanding of RAG architectures, embeddings ...

pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,"Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing … DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record ...

knowledge of secrets management (AWS Secrets Manager, Parameter Store) and cross-account IAM patterns. Understanding of cost optimization levers for AWS data services (Glue, EMR, Kinesis, S3). Familiarity with monitoring tools: CloudWatch, Grafana, and alerting configuration. Scripting proficiency in Bash, Python, or similar. Experience working in regulated ...

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 ...

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 ...

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 ...

data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly to henry.clay ...

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 ...

cloud to cloud). 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 … Strong hands-on expertise with: AWS DMS (Database Migration Service). AWS SCT (Schema Conversion Tool). AWS Glue (ETL & data integration). Amazon Redshift (data warehousing). Nice to Have: Exposure to real-time replication tools (e.g., GoldenGate or equivalent). Database Administration (DBA) expertise, including backup ...

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 ...

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 ...

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 ...