... https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams to build a modern, cloud-native data https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Design, build, and maintain robust batch and streaming data pipelines that ingest data from multiple sources ...
India, Gurugram
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
... Familiarity with data entry, documentation, and record maintenance. Graduate or equivalent qualification Freshers and candidates with up to 5 years of experience can apply Able to maintain confidentiality while handling company data Premium Retail | Fashion | E-commerce | Quick Commerce | Dark Store Operations| Hospitality
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
Job Title: Data Scientist Experience: 3–8 Years Work Mode: Hybrid Notice Period: Immediate Joiner Job Description We are looking for an experienced Data Scientist with strong expertise in advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional ...
... 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 ...
... solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, ...
... enterprise knowledge management and Microsoft 365 extensibility.- Experience with Microsoft Graph, Power Platform or Azure integration services.- Experience with DataOps, MLOps, AI operations, observability or model evaluation.- Experience contributing to enterprise AI operating models and governance frameworks.- Experience ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...
... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business ...
... audit-sensitive environments such as: - Healthcare claims - Finance back-office operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset ...
... techniques to NLP, time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills ...