... solutions are feasible, and delivered outcomes meet intended business objectives. future-state processes, produce product/solution wireframes, process flows, data flows and capture user stories. Translate epics and features from PdM into detailed business requirements. The BA will elicit business requirements, analyse data, ...
Job Description: As a Lead Big Data Developer , you will drive technical excellence across the Airbus Skywise ecosystem (built on the Big Data Apache Spark framework/Lightweight architecture). You will be responsible for defining technical standards, establishing best practices, and enforcing 'Golden Rules' across the codebase. ...
... applications. - Support and manage SAP Cloud Identity Services, including: - Identity Authentication Service (IAS) - Identity Provisioning Service (IPS) - Perform data loads, data validation, and troubleshooting within SuccessFactors. - Plan, coordinate, and execute release testing for SuccessFactors quarterly releases and system ...
... Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable. Preferred Skills: - Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases. - Familiarity with automation tools and CI/CD pipelines. - Understanding of data governance ...
... exposure; AI / AIOps Readiness: Ability to use AI-assisted investigation, anomaly detection, and correlation tools responsibly, with strong validation of evidence. Database: Hands-on SQL skills for operational diagnostics, data validation, and service health checks. Execution: Disciplined follow-through, evidence capture, documentation, ...
... innovation/acquisition products. Education/Experience: - 5-7 years of experience in Quality Assurance or Quality Test Engineering - BS degree with computer science, quality assurance, or engineering emphasis or equivalent preferred - Experience in different automation frameworks such as Data driven, Keyword driven and ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
Data Science & AI/ML Lead About The Role As a Data Science & AI/ML Lead , you will make an impact by leading the design, development, and optimization of enterprise AI solutions that transform experimental models into scalable, production-grade capabilities. You will be a valued member of the AI Engineering team and work ...
... time zones. We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information ...
... complex financial data from private equity clients across multiple sources (General Ledger systems, Excel, proprietary/legacy platforms) Map and transform client data to CapAssure data formats and database structures Execute advanced data analysis using SQL, Excel, and Python to support business requirements and ad-hoc requests ...
... configuration, telemetry, and documentation Select and evaluate agent frameworks, LLM providers, and orchestration patterns (e.g., API-based LLMs), accounting for the data-residency and security constraints typical of Tier-1 telco on-premise deployments Platform & Integration Engineering Architect the integration layer between agentic ...
... India's operations. The individual in this role will own defined workstreams within the ECR program charter, collaborating with program, product, tech, BI, and Science partners to execute, validate, and deploy customer experience capabilities. Successful candidates will have experience in Program Management, comfort working ...
... registers, and proactively address issues before they escalate.- Team leadership: Lead, motivate, and develop cross-functional pods comprising software engineers, data engineers, BAs, QA specialists, and scrum masters; sustain team velocity while managing attrition and bench gaps.- Agile and scrum governance: Drive sprint planning, ...
... be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, ...
... project or program needs. Manufacturing Analysis Led Design - Uses digital tools to model and simulate manufacturing processes, equipment and performance to make data driven decisions before changes are made and to drive continuous improvements. Manufacturing Knowledge - Demonstrates the knowledge of manufacturing by correctly ...
... registers, and proactively address issues before they escalate.- Team leadership: Lead, motivate, and develop cross-functional pods comprising software engineers, data engineers, BAs, QA specialists, and scrum masters; sustain team velocity while managing attrition and bench gaps.- Agile and scrum governance: Drive sprint planning, ...
... value chain (suppliers → operations → customers). Identify efficiency gaps and cost-of-quality opportunities. Data and reporting strategy and governance Lead HSW data strategy and governance, including data collection, analysis, and centralized reporting practices. Strengthen data architecture, data quality, and governance ...
... consuming REST APIs . Good understanding of API authentication mechanisms such as OAuth2, JWT, API Keys, and Basic Authentication. Knowledge of JSON, YAML, XML, and data parsing techniques. Experience with Git, GitHub/GitLab, and CI/CD pipelines. Understanding of Linux/Unix systems and Shell scripting. Experience with debugging, ...