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Strong Cloud Data experience (Python, Data lake/data warehouse, Cloud) Cloud Native experience (AWS) Strong Cloud Data experience (Python, Data lake/data warehouse, Cloud.
$100,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong expertise in cloud technologies such as AWS, Azure, or GCP, and hands-on experience with services like EC2, S3, Lambda, Kubernetes, and others. Proficiency in programming languages such as Python, Java, or Scala, and experience with web frameworks (e.g., Django, Flask) for building APIs and user interfaces.
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Knowledge of modern cloud development (AWS, Azure, GCP, etc) and familiarity with DevOps practices (infrastructure-as-code, CI-CD, etc) FirstPro is now accepting resumes for a Senior Backend Software Engineer position based in Boston, MA. This role will focus on designing and implementing backend REST services using Python and Django in an AWS based environment.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Ability to troubleshoot issues in Linux/AWS cloud environment. Production Support, Release support, Shell, Bash, KornShell, perl, python, ruby, Linux, Unix, Tomcat, Ngnix, Automation, Jenkins, Maven, Docker, Quickbuild, Rundeck.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In this role, the Data Engineer will be a member of the RISC team and will be a design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Strong programming skills in languages like Python, R, JavaScript, or similar for data manipulation and visualization.
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Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Proven experience in software development, with a strong foundation in programming languages such as Python, Java, or C.
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Hands on experience designing cloud native relational and non-relational database technologies (Aurora, PostgreSQL, Snowflake, DynamoDB, etc.) Strong working knowledge of the AWS Technology Stack (e.g. Lambda, ECS, Aurora, etc.
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Experience with cloud platforms, such as AWS or Azure. Strong programming skills in one or more languages, such as Python, Rust, or Go. You will work closely with software engineers to automate tooling and migrate applications into the cloud.
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Proficiency in Java, Spring Boot, Python, Kafka, GraphQL, and AWS Cloud technologies Strong knowledge of data specifications, XML, JSON, SQL, REST, and GraphQL Strong knowledge in automation and tools such as GitHub, GitLab, Cloud Watch, DataDog, Grafana, Service Now, Pager Duty Work with a geographically dispersed team.
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Cloud Tools Experience: Experience with cloud tools such as GCP, AWS, BigQuery and GitLab preferred. Code Based Language Experience: Experience with Python, R, SQL and SQL Server Management Studio is preferred.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker. 5+ years of experience in in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Keywords:Boston MA Jobs, Lead Python Software Developer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Engineer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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Experience using Python, LLM Models, cloud and other databases (Oracle, Snowflake, AWS), SQL, Excel. Experience using Python, LLM Models, cloud and other databases (Oracle, Snowflake, AWS), SQL, Excel.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.
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