Position : Business System AnalystLocation : Gurgaon, OnsiteType : FulltimePosition Summary :The Junior BSA supports Asia RO in enabling and strengthening market Data Governance Councils through research, requirement analysis, market intelligence, stakeholder engagement, and feature planning. The role serves as the analytical ...
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 ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... 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, ...
... 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 into production-grade services.- ...
... 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 ...
... https://jobeax.com/link/S6P1WnQjdVW1HOlN achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted https://jobeax.com/link/hW31b3YMbYvz8S5Q Description :The role will be responsible for setting up the data warehouses ...
... 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 ...
... through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ensuring stakeholders have access to reliable and timely information.- Design and deploy interactive analytics dashboards that visualize key performance ...
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 ...
... highly valued Proficiency in Python and modern data/ML engineering tooling Experience with CI/CD practices, containerization, and DevOps 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, ...
... including brokerage, wealth management, cash management, deposits, or banking.- Experience performing financial data reconciliation and validation.- Understanding of data governance, auditability, security, and regulatory controls for financial data.- Experience monitoring production jobs and supporting time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs ...
... 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 tools, particularly Tableau. - Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt. - Proficiency ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...