13 of 13 Remote/Hybrid Permanent Amazon EMR Jobs

Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong experience ...

Stay ahead of the curve: Continuously learn and adapt to the evolving AWS data and analytics landscape, including AWS Glue, Lake Formation, Redshift, Athena, EMR, and related best practices.* Define the platform operating model: Establish AWS multi-account strategies, environment separation (dev/test/prod), naming standards … cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, and related security, networking, and monitoring services.* Excellent problem-solving and analytical skills and strong communication and teamwork skills.* Passion for data and a thirst ...

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. Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted … 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 ...

Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data ...

Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data ...

Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data ...

Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data ...

Spark Strong skills in Python and SQL, with solid data modeling experience Extensive knowledge of AWS/cloud services (ECS, EKS, Lambda, Kinesis, DynamoDB, EMR, Athena) Hands-on experience with orchestration and workflow tools (Docker, Kubernetes, Airflow, Prefect, Dagster) Familiar with CI/CD pipelines, infrastructure as code ...

scale data solutions Hands-on expertise in Apache Spark development using Java or Scala (Python experience considered) Strong proficiency in AWS cloud services (S3, EMR, Glue, IAM, etc.) and cloud-native architecture principles Advanced SQL development skills for performance-critical data transformations Practical knowledge of ETL/ELT pipelines ...

Advanced Python or Scala CI/CD tools (Jenkins, Ansible, Fortify, DevOps pipelines) Microservices and Big Data (Spark, Hadoop/HDFS) AWS services (EC2, EMR, Lambda, S3, Glue) QA automation (Cucumber, Selenium, Karate) Preferred Domain Knowledge Financial data systems: Equity, Commodities, Forex, Futures, and Options. Index/Benchmark ...

solve them Some extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD Prior experience in the fraud domain and a strong understanding of fraud detection techniques Experience designing and deploying LLM-based solutions in production ...

high‐stakes clinical data into a clean, trusted foundation the whole product runs on. Design and ship data pipelines end-to-end: ingesting from EMR and clinic source systems, modelling into a canonical data layer, and serving analytics‐ready datasets and insights. Work closely with customers to migrate … validate data from their old EMR to wawa. Managing customers through complex data migrations step‐by‐step to ensure they have the best start with Wawa. Solve genuinely complex problems daily: heterogeneous healthcare data, schema mapping across clinics, data quality and validation, and multi‐country compliance. Collaborate with application ...

Architecture, Enterprise Data Strategy, Data Warehouse, Master Data Management, ERP, CRM, BI, ETL/ELT, Azure Data Factory, Data Lakes, RDBMS, NoSQL, AWS Glue, EMR, Capital Markets Data) Our client is a leading global investment bank with a strong presence across financial markets and commodities. They are now looking … integrity, security and traceability. Strong experience across cloud and on-premise data technologies is required, with exposure to RDBMS, NoSQL, Data Lakes, AWS Glue, EMR and Azure Data Factory particularly valuable. You will also have a good understanding of data warehousing, ETL/ELT, data integration, data lineage ...