... mapping rules between source-system data structures and SSPs standardised data models.- Support data profiling, quality assessment and resolution of source-system data issues.- Ensure data integrity throughout the integration lifecycle.4. Reconciliation & Exception Management :- Own transaction-level and data-flow reconciliation ...
... 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, ...
... to conceptualize and deliver on ambiguous projects with specific revenue potential e.g. help place a new energy facility in the London market with placement data Bachelor's/Master's degree in Computer Science/Statistics/Mathematics/Economics/ Engineering discipline - 10-12 years of experience in BI and reporting – should ...
... expertise in Power Query (M language) for data transformation Advanced knowledge of Power Pivot and DAX for data modeling and analysis Experience with large dataset processing and optimization techniques Ability to work independently and manage multiple projects Bachelor's degree in Computer Science, Information Technology, ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...
Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...
... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...
... capabilities. Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative discipline. Minimum 3 years of experience in data engineering, data science, analytics, quantitative research, or a related role. Demonstrate advanced proficiency in Python and experience with data engineering ...
... problem-solving.- Solid understanding of data engineering concepts, data modeling, and data integration techniques.- Proficiency in programming languages such as Python, SQL and Web Scrapping.- Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... documentation, training materials, and knowledge repositories to drive standardization, governance, and operational excellence. 11. Provide user training and support on data analysis tools, techniques, and best practices. What are we looking for : Minimum Education Bachelor's degree in information systems, computer science, or a quantitative ...
... planning, and inventory allocation engines.- Define backend architecture ensuring high availability, performance, and fault tolerance for high-throughput planning data.- Partner with Product, Operations, and Data Science teams to translate supply chain requirements into scalable technical solutions.- Engineering Excellence : ...
... workflows, and model evaluation frameworks. Monitor model performance in production and support continuous improvement of deployed models. Masters or PhD in Data Science, Computer Science, Statistics,Mathematics, or a related field 8+ years of professional experience as a Data Scientist,Machine Learning Engineer, or similar ...
... engines.- Architecture & Scalability : Define backend architecture ensuring high availability, performance, and fault tolerance for high-throughput planning data.- Cross-Functional Collaboration : Partner with Product, Operations, and Data Science teams to translate supply chain requirements into scalable technical solutions.- ...
... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...
... learning models at scale. - Perform feature engineering through extracting meaningful features from traditional and alternate data sources. - Mentor team of data scientists - Proficiency in Python, SQL, AWS / GCP / Azure - Bachelor's / Master's degree in mathematics, Statistics, Economics, Computer Science or other quantitative ...
... the Office JavaScript APIGood-to-Have Skills : - Familiarity with Git or TFS for version control and CI/CD workflows.- Experience with MongoDB or other NoSQL databases.- Exposure to Python for scripting or backend tasks.- Familiarity with Angular as an alternative front-end framework.- Understanding of security best practices ...
... the Office JavaScript APIGood-to-Have Skills : - Familiarity with Git or TFS for version control and CI/CD workflows.- Experience with MongoDB or other NoSQL databases.- Exposure to Python for scripting or backend tasks.- Familiarity with Angular as an alternative front-end framework.- Understanding of security best practices ...
... availability, reliability, and security across development, testing, and production systems. You will work closely with software developers, QA engineers, architects, database administrators, and IT teams to streamline software delivery, optimize infrastructure performance, and support AI-enabled cloud solutions. The ideal candidate ...