1,901 to 1,925 of 7,200 Python Jobs

/VB/Java/REST) Candidate Specification: Were looking for someone with: Minimum 3 years experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in More ❯

major cloud (AWS, GCP, or Azure); multi-cloud experience is a strong advantage. - Solid background as a full stack engineer and proficient in at least two backend languages i.e. Python, Node.js, Go - Familiar with frontend frameworks i.e. React, Angular, Vue.js - Strong knowledge of security scanning, secrets management, IAM policies, and compliance frameworks (ISO27001, SOC 2, CIS Benchmarks). - Proven ability More ❯

Management or similar Knowledge of Agile and Scrum Methods, Google and Adobe Analytics, Azure DevOps Server and JIRA Experience with back-end/front-end programming (e.g., SQL, Tableau, Python, Figma, Sketch, HTML, CSS, JS, React) is desired Strong communication and presentation skills Passionate about building great products and help solving client and business problems Analytical, creative and curious with More ❯

to contribute to critical projects in a secure and innovative environment. Required Experience: Active DV clearance is essential Developing and maintaining Kubernetes clusters. Software development tasks including working with python, scripting languages, and command line tools. Managing ESXI hypervisors. Ongoing upkeep of a Windows server domain and desktop workstations. Managing Azure and AWS cloud environments, using IaC approaches such as More ❯

create meaningful and aesthetically pleasing reporting and analytics. Experience with Microsoft BI stack (T-SQL, SQL Server database, SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in More ❯

create meaningful and aesthetically pleasing reporting and analytics. Experience with Microsoft BI stack (T-SQL, SQL Server database, SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in More ❯

or development) would be a great asset Throughout your career, you will have gained experience in automation and provisioning approaches, using tools such as Ansible, Terraform, Bicep, Bash, PowerShell, Python, and C# In-depth knowledge of configuring and managing Windows and Linux environments, Experience with infrastructure (databases, Active Directory, DNS, firewalls, networking) in Azure and on-premises data centres would More ❯

from an accredited institution 10 years of relevant experience in designing and implementing machine learning, data science, advanced analytics, statistical analysis (e.g., hypothesis testing, linear models), and programming (e.g., Python) Experience in data management (e.g., data cleaning, transformation), data mining, data modeling, artificial intelligence, and/or software engineering, with expertise in at least 3 of these areas Must have More ❯

leading technical projects. Exceptional problem-solving skills and the ability to think strategically and analytically. Experience with server-side technologies such as Node.js, PostgreSQL, Redis, and Elasticsearch. Familiarity with Python, Java and FE frameworks is also beneficial. Strong leadership skills with experience mentoring and developing engineering talent. Excellent communication and collaboration skills to work effectively with teams across the organization. More ❯

SRE roles. Solid experience with Docker, GitHub Actions (or similar), and basic Kubernetes/EKS. Familiarity with cloud platforms (AWS/Azure/GCP) and networking fundamentals. Comfortable with Python, Bash, or PowerShell scripting. Team player focused on reliability and continuous improvement. Join a purpose-driven startup focused on improving patient outcomes. Collaborate with experts in healthcare, neuroscience, game design More ❯

in monitoring and developing system configurations across Windows, Linux, and containerized environments using tools such as Puppet, Ansible, and Kubernetes. • Skilled in reviewing and troubleshooting server, Java, Ruby, and Python errors by analyzing logs and outputs. • Strong proficiency in creating, modifying, and reviewing scripts using PowerShell, Bash, and other shell scripting languages. • Hands-on experience with containerization platforms such as More ❯

software development (i.e. client, server, and data tiers) Experience deploying containerized applications to Kubernetes or other orchestration platform Experience developing microservices in Java 8+ with Spring Boot or in Python with FastAPI/Flask Experience developing modern user interfaces with JavaScript frameworks such as React (preferred), Vue, and Angular Experience developing Web applications with Java using frameworks such as Spring More ❯

troubleshoot time-sensitive production issues, regardless of when they happen. Keep petabytes of critical business data safe, secure, and available. What You'll Need: Configuration management (Chef) Scripting in Python and bash Experience with large scale datastores using technologies like Cassandra, ElasticSearch/Opensearch, Kafka, Zookeeper,MySQL, PostgreSQL, Redis, Valkey, Memcache, Pulsar, SQS Experience with large-scale, business-critical Linux More ❯

centers) with public cloud platforms. Responsibilities: Architect, deploy, and automate cloud environments, with a strong emphasis on hybrid cloud strategies Capable of supporting program requirements through open-source scripting (Python, Java) Develop automation tools and scripts for provisioning, configuration management, and deployment processes using technologies such as Terraform, Ansible, or CloudFormation Establish and maintain monitoring, logging, and alerting frameworks to More ❯

desirable for to be experienced in or familiar with the following (these will become part of the day to day role): Virtualisation with KVM/QEMU Scripting skills (Powershell, Python, Bash, Ruby, Perl, etc.) LAMP (or components of - Linux, Apache, MySQL, PHP) OpenStack (or similar cloud software platform) VMware ESXi Hypervisor Data Modelling tools (XML, NETCONF, YANG, JSON) Must have More ❯

science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems and a desire to make a lasting impact. Please More ❯

needs- Experience working in agile methodology.Preferred Qualification- Strong knowledge of implementing hybrid connectivity between Azure and on-premise systems using virtualnetworks, VPN, and Express Route- Strong scripting skills in Python- Experience working with Azure Data factory, Azure Data Lake Experience developing power BI reports More ❯

code tools such as Terraform, Bicep, or ARM templates. Familiarity with financial services workloads, including regulatory compliance, data privacy, and auditability. Proficiency in scripting languages such as PowerShell or Python for automation and orchestration. Experience integrating Azure Batch with Azure Data Factory, Event Grid, or Logic Apps. Strong communication and stakeholder management skills. Preferred Qualifications: Azure certifications (e.g., Azure Solutions More ❯

experience as a Data Engineer or similar role. Proficiency with SQL A thorough understanding of data modelling in a traditional Relational Database environment Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of databases (e.g., SQL, NoSQL), data warehousing, and big data technologies. Experience implementing data quality checks and validation processes to ensure data consistency and integrity More ❯

Administration • Security Technical Implementation Guidelines (STIGs) • System Vulnerability Management & Patch Compliance Virtualization & Platforms: • KVM, VMware, RedHat OpenShift • Satellite Ground Systems & OPIR Program Exposure (Highly Preferred) DevOps & Automation: • Automated Scripting (Python or similar languages) • Infrastructure as Code (IaC) • Agile, Lean, and Continuous Process Improvement Frameworks • Configuration & Change Management Processes Collaboration & Communication: • Strong team player with excellent verbal and written communication • Ability More ❯

code tools such as Terraform, Bicep, or ARM templates. Familiarity with financial services workloads, including regulatory compliance, data privacy, and auditability. Proficiency in scripting languages such as PowerShell or Python for automation and orchestration. Experience integrating Azure Batch with Azure Data Factory, Event Grid, or Logic Apps. Strong communication and stakeholder management skills. Preferred Qualifications: Azure certifications (e.g., Azure Solutions More ❯

solving skills and attention to detail Clear communicator with the ability to support non-technical users and promote self-serve analytics What Will Make You Stand Out: Exposure to Python for analytics engineering or automation tasks Background in the insurance or financial services sector (a plus, not essential) A commercial mindset-you understand how data supports business goals and can More ❯

and Singer Message Brokers and streaming data processors like Apache Kafka Object Storage solutions such as S3, MinIO, LakeFS CI/CD Pipeline and Integration, ideally with Azure DevOps Python scripting API Management Solutions Automation Key Skills: Design, Configuration, and Usage of Low-code Platforms such as Power Platform, Appian, UiPath, Blue Prism RPA and Automation solutions Business Process Analysis More ❯

with stakeholders to communicate solutions and technical trade-offs clearly Ideal Experience: 3-5 years SRE or DevOps experience across AWS and Azure platforms Strong knowledge of Terraform , scripting (Python, Bash, PowerShell), and cloud architecture Comfortable with containerisation and orchestration ( Docker, Kubernetes ) Understanding of networking, DNS, IAM, and load balancing in cloud environments Hands-on experience with observability tooling and More ❯

with in-depth experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and More ❯