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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Net, Spring Boot, Microservices, APIs. Experience working with GitHub and/or GitLab, SonarQube, JUnit, Spring Boot. Broad hands-on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sage maker, Athena, etc.
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Big Creek Dam offers beautiful, scenic waterfall views, while East Roswell Park features fishing, hiking and cycling options. Roswell puts on a number of annual productions that are big draws in the region, including a large memorial day ceremony, a storytelling festival, and a fireworks extravaganza.
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Automation-minded: Hands on experience of designing and writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Cypress, Ready API etc. Experience with system integrations, optimizing performance and data integrity.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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Hands on experience of designing and writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Cypress, Ready API, etc. Core Java, Typescript, Microservices, Rest API, Scripting, AWS (Specifically Lambda, code pipeline, Api gateway, cloud watch, DynamoDB, AWS Cli ), Docker, Kubernetes (Quarkus, GRAAL VM, Java 17, Mockito, OpenShift (PAAS), Podman desired.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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We design, build, and own payments APIs (Java/Spring Boot), the system of record for scheduled payments (in DynamoDB), and the AWS infrastructure that hosts the solutions. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Experience with Spring Boot, Spring REST, or Spring MVC. Ability to fully design and manage databases and use syntax to expedite results, advanced queries and convert data across incompatible interfaces.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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