Sql, Data analysis, Informatica, Tableau, Analysis, data warehouse, ETL, JIRA, Sql query writing, target mapping, database modeling, oracle, teradata, hadoop, Big Data, obiee, tabbleau, Sql queries, ETL processes, test procedure, test databases, data review, business intelligence, Data management, translate business requirements.

We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.

Operations & Technology Transformation Senior Consultant, Guidewire Data Migration - ETL Developer. 4 years experience with Guidewire Cloud Claims migration. 4 years of hands on ETL experience with Informatica and/or Microsoft SSIS.

Required Skills : ETL Testing focused on Big Data, python automation, and working on Google Cloud Platform (GCP) Experience with gcp platform development tools Pub/sub, cloud storage, big table, big query, data flow, data proc, and composer desired.

Conocimientos de SQL.● Conocimiento en tecnologías Cloud (AWS, Azure, GCP, etc)● Conocimientos en Docker , Kubernetes Engine, Dataflow, Composer, Bigquery. ● Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.

Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Technical knowledge in some of the following domains in a cloud or on-premise context: routing/switching, stateful or next gen firewalls (NGFW), distributed denial of service (DDoS) mitigation, web application firewalls, intrusion detection / prevention systems (IDS/IPS), network segregation, security information and event management (SIEM), Container and Orchestration technologies, Infrastructure as Code, and other threat and vulnerability management capabilities.

Strong proficiency in data pipeline and ETL design, with hands-on experience in tools like Apache Airflow, Apache NiFi, or similar. Familiarity with modern cloud platforms (e.g., AWS, GCP, Azure) and their data engineering services.

Hands-on familiarity with laboratory equipment such as vector network analyzers, arbitrary waveform generators, oscilloscopes, spectrum analyzers, data acquisition and processing systems using Python, LabVIEW, MATLAB, or other programming languages.

3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. If you're excited to work with a tightly-knit team of data engineers solving hard problems the right way using cutting-edge data collection, transformation, analysis, and monitoring tools in the cloud, this opportunity is for you.

Experience with configuring and deploying Esri Experience Builder Experience with implementing and managing ArcGIS Enterprise and ArcGIS Online Experience with cloud technologies – AWS and Azure Experience with relational database management systems (SQL Server, Oracle, PostgreSQL) and management of geospatial data in database systems Strong analytical abilities, solid analytical and trouble-shooting skills with the ability to quickly identify and solve client issues.

Create D drawing using design packages such as AutoCAD. Capture D point cloud data using CMM equipment such as Faro Quantum or Focus M. Perform post-processing of D point cloud data to be used for design engineering functions.

With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.

Extensive hands-on experience with security pillars such as Identity and Access Management, Data privacy, key management, encryption, security policies, Fraud mitigation, Application security.

Provide legal support to business units on all aspects of contract law with particular emphasis on privacy and cyber security requirements, to negotiate data processing agreements, and other privacy-related agreements.

Experience working with Docker containers, ideally deployed in a cloud environment; AWS (ECS Fargate, Codebuild, Lambda, RDS, S3) (Any cloud experience). Backend: Knowledge of the Spring ecosystem, particularly Spring Boot, Spring Framework (Core and Web MVC), and Spring Data JPA, SQL (Postgres.