2,201 to 2,225 of 8,633 AWS Jobs

analytical data modeling.• Production experience with dbt or a comparable transformation framework and with Airflow, Dagster, Prefect, or similar orchestration tooling.• Experience with AWS data services and cloud storage; equivalent experience on another major cloud platform is welcome.• A working understanding of data quality, lineage, observability, data contracts, and operational ...

Capabilities, And Skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging ...

other orchestration tools)Extensive experience in Entity-Relationship modelling and Dimensional modellingExperience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)Familiarity with TableauExcellent communication and problem solving skills and the ability to translate business requirements into technical requirementsAble to architect custom AI solutions ...

libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex technical ...

curation, ablation studies, evaluation Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES 5+ years experience in data science or related areas 2+ years tech lead or management experience in data science ...

vendors including Vmware, Microsoft and RedHat. Hands on experience of large and complex datacenter infrastructure operations Experience and understanding of the top three Hyperscalers (AWS, Azure and Google Cloud) Experience with relational database software. Experience with programming/scripting language for automation Excellent written and verbal communication skills Be comfortable ...

junior engineers, providing guidance on engineering best practices, coding standards, and troubleshooting. What We're Looking For Strong Golang knowledge and experience Knowledge of AWS products like Lambdas, DynamoDB, etc but also comfortable in Azure and Azure devops environments Containerisation and IaC approach (Terraform, SST are definitely a plus ...

e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high‐consistency transactional environments ...

provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production ...

Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharingCloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code Experience & Qualifications: Experience: Minimum 7–10 years in data architecture, engineering ...

Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services Experience in SaaS or enterprise software companies Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting ...

database querying languagesExpert knowledge with server-side languages and frameworks (e.g. Java/SpringBoot)Experience building solutions on at least one Cloud platform (e.g. AWS) using integration technologies (e.g. GraphQL, REST etc..) and NoSQL/SQL database technologies (e.g. PostgreSQL, TigerGraph etc..)Solid understanding of agile methodologies such ...

testability). Strong backend/API engineering experience, ideally in Python (e.g. FastAPI, or similar). Hands‐on experience building and operating solutions in AWS environments. Proficiency with Docker, GitHub, and CI/CD pipelines. Proven ability to partner with and work across teams to drive delivery into production. Strong ...

generative AI applications in production. Experience building and operating large‐scale, distributed AI systems involving multiple agents, models, tools and services. Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model ...

Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. ...

communication skills with the ability to present complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired* AWS experience including AI services such as Bedrock and the Serverless ecosystem.* Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user ...

Solid grasp of production engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps ...

cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands‐on experience with at least one major cloud platform such as AWS or Azure. Practical knowledge of IAM, logging, encryption, secrets management, network security, storage security, vulnerability management, and secure CI/CD. Experience with infrastructure‐as‐code ...

focused SRE (hardening, compliance automation, secrets management) + Network reliability & traffic management* Strong programming skills (e.g. **Go, Python, or similar**)* Experience with **cloud platforms (AWS, GCP, Azure)** and **Kubernetes*** Strong communication skills, with the ability to explain complex technical concepts clearly* Self-driven with the ability to identify and prioritise ...

technologies: Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies, driving our journey into public cloud architecture Docker, for our containerised applications Jenkins, for continuous integration and deployment You are passionate about creating products that ...

Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP) Strategic Enablement & Community Mentorship Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs. ...

semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform/Spacelift Why else you’ll love it here Wondering what the salary for this role is? Just ask us! On a call ...

production-ready inside a bank’s own environment and tooling. Current technologies across the portfolio: Java, Python, C#/.NET, SQL and data engineering, AWS and Azure, CI/CD and testing practice, and the current generation of AI and agentic development tooling. What you will be accountable for Technical ...

language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills: Proven ability ...

starter with ability to work effectively in teams. Proficiency in Go, Python, C++, or other statically typed languages. Experience/knowledge with public clouds (AWS, Azure or GCP). What Gives You an Edge Experience with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit ...