... your mark by leading global asset pricing controls that help protect clients and the firm, while growing your career in a collaborative team. As a Reference Data Analyst within Instrument, Pricing & Common Reference Data, you deliver daily global asset pricing services and ensure data integrity across multiple business ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... data visualization tools like Tableau, Power BI, or similar. Strong statistical analysis skills and experience with data mining techniques. Familiarity with database management and data warehousing concepts. Excellent problem-solving skills and attention to detail. Ability to communicate complex data insights in a clear ...
Role : AWS Data Architect Job Description :Candidate should possess a deep understanding of big data technologies, cloud services, and data architecture, with a proven track record of leading data-driven projects to successful https://jobeax.com/link/CEKJnNMNtDL19sum Responsibilities :- Lead a team of data engineers, providing ...
... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... contribute to improving the quality of data used in next-generation AI systems. Key Responsibilities Data Analysis & Review Review and analyze large business datasets for accuracy, completeness, and relevance . Examine data to identify inconsistencies, anomalies, and potential quality issues. Assess data integrity and provide ...
... experience with Microsoft Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or https://jobeax.com/link/x0s8XtEWiLbcDcct Qualifications :- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.- Microsoft Certified: Azure AI Engineer Associate (AI - 102).- Demonstrated ...
... experience with Microsoft Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or https://jobeax.com/link/x0s8XtEWiLbcDcct Qualifications :- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.- Microsoft Certified: Azure AI Engineer Associate (AI - 102).- Demonstrated ...
... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...
About the Role : We are looking for a Data Scientist who combines strong machine learning fundamentals with a hands-on, exploratory mindset. In this role, you will own the full lifecycle of machine learning solutions - from framing the business problem and exploring data to building models and deploying them into production. ...
... support data-driven decision-making. Develop and maintain data pipelines using Databricks and other ETL tools. Collaborate with cross-functional teams to define data requirements and ensure data quality. Create and maintain dashboards and reports to visualize key metrics and trends. Perform data modeling and data integration ...
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 ...
... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...
... equivalent - 0–2 years of experience (freshers with relevant certifications can be considered) - Preferred Certifications (Not mandatory) - CCNA / Network+ - DevNet Associate - ITIL Foundation - Entry-level Cloud or DevOps certifications (optional) - Individuals with strong learning aptitude, engineering mindset, and passion for ...
... knowledge of the data governance industry best practices, business and technology issues related to management of enterprise data assets and approaches related to data protection. - Strong experience of regulator mandated programs with complex coordination requirements - Experience in a Data related field (Data Management, Records ...
... intersection of business knowledge and data governance, acting as the day-to-day guardian of data quality, metadata, and accountability for a defined set of data https://jobeax.com/link/Tz8QBxhdVa4wtgEC Responsibilities :Metadata & Data Catalog :- Own the collection, quality, and ongoing curation of metadata for data assets ...
Description : EXP : 8+yrsLocation : ChennaiRole : Technical Architect Job Summary : We are looking for an experienced Snowflake & Data Warehouse Architect to design and optimize scalable cloud-based data warehouse solutions. The candidate should have strong expertise in Snowflake, modern data warehousing principles, ELT ...
... maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- ...