... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... like to innovate and simplify If yes, then you may be a great fit to join the Machine Learning team for International Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce ...
... to enterprise platforms through secure, reusable and supportable integration patterns.- Architecture decisions improve reuse, reduce complexity and minimise technical debt.- Enterprise data remains secure, discoverable, governed and AI-ready.- Microsoft data and AI capabilities transition successfully from experimentation ...
... real payment history, decide whether it's an enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at ...
Role Overview : We are seeking a seasoned Data/SQL Business Analyst to join our high-growth team in Delhi NCR/Gurgaon. In this role, you will serve as the bridge between complex raw data and actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. ...
... forecasting accuracy.- Deploy models into production and continuously monitor their performance.- Collaborate with product and business teams to convert complex data insights into practical business strategies.MUST-HAVE SKILLS :- Data Science, Data Forecasting / Time-Series Forecasting- Python or R, SQL- ARIMA, Exponential ...
... performance and accuracy. Communicate findings and recommendations to stakeholders effectively. Stay updated on industry trends and emerging technologies in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science ...
... workflows are the core qualifications. What You’ll Do - Design realistic data-entry and data-validation evaluation tasks for AI systems. - Build and curate complex datasets using formats such as CSV files, PDFs, spreadsheets, and technical documents. - Introduce realistic data-quality issues, including malformed records, missing ...
... principles applied to data and AI systems Ability to operate across the full stack — from raw data through model serving infrastructure 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership. Track record of leading technical projects or workstreams, not just executing ...
... extraction and transformation processes for performance, scalability, and reliability.- Monitor production jobs, investigate failures, and ensure timely delivery of data https://jobeax.com/link/nZRXbBOR1WK8A6WZ Qualifications / Good to Have:- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related ...
... unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. - 3-5 years of experience. - Expert-level proficiency in SQL. - Strong experience with data visualization ...
... reconciliation. - Ensure tasks reflect the complexity and precision expected in professional data environments. Dataset Creation & Curation - Construct and curate complex datasets across multiple file formats. - Work with CSVs, PDFs, spreadsheets, and technical documents . - Introduce realistic data-quality challenges, including malformed ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... high quality - Analyse datasets to identify trends, anomalies, risks, and business insights - Translate complex data into clear, structured outputs for non-technical stakeholders - Support monthly and periodic reporting cycles with dependable, decision-ready data - Monitor data quality across systems and proactively highlight ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...
... actionable insights and provide optimized recommendations. Time Series Analysis, Computer Vision, Natural Language Processing, Generative AI, Commercial Analytics. Data Science, Computer Science, IT, Chemical Engineering, Mechanical, Civil, Materials, Aerospace, Geoscience/Geophysics, Applied Math or related disciplines with ...