... sophisticated machine learning models that drive strategic decision-making for our enterprise clients. You will act as the primary technical bridge between complex data architectures and business stakeholders, translating ambiguous requirements into actionable analytical roadmaps. Your daily contributions will involve mentoring ...
... experience in data engineering with a strong track record of delivering production-grade data solutions.- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.- ...
... Build responsive, robust, and optimized applications. Requirements And Qualifications Proficiency in Python, with a solid understanding of Django, Celery, and Redis. Bachelor's degree in computer science, engineering, or a related field. Skills:- Django, FastAPI, PostgreSQL, RESTful APIs, Data Structures and Algorithms
... embraces learning and development The Role The VDBA Support Team Member is the first level support to VDBA clients. The VDBA Support Team Member will monitor client databases. Where alerts or support requests are received the VDBA Support Team Member will follow company process to investigate and if possible, be the initial point ...
... learning sessions, and regular code reviews. Required Qualifications - Bachelor's degree in Computer Science or related field. - 2–5 years of experience in Python development. - Strong grip on Python standard libraries and tools (NumPy, etc.). - Experience with API design and integration (REST/GraphQL). - Hands-on with ...
... Comfort with Python/Excel for ad-hoc analysis. Understanding of payment gateways, UPI, settlement cycles, or reconciliation processes. Exposure to large-scale databases (BigQuery, Redshift, ClickHouse, etc.) Roles and Responsibilities :- Write SQL queries to pull and analyze payments data (transactions, success/failure rates, ...
... opportunities. Ensuring product quality through unit, functional, and system tests in collaboration with automation engineers. Creating and maintaining comprehensive data model designs. rack record of building and delivering solutions based on a solid understanding of customer needs. Results-driven, hands-on approach to the full ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
... years in a team-lead, engineering-lead, or project-lead capacity:Python / Django Development:- Lead the development of back-end services, REST/GraphQL APIs, and data-processing pipelines using Python and Django.- Establish coding standards, review PRs, and maintain a high bar for Python code quality across the team.- Guide ...
... product documents (Word, PowerPoint, Excel, PDF). Leverage multi-vector retrieval techniques to enhance the tool's functionality and effectively handle large data sets. Strong expertise in Python and PySpark with over 5 years of hands-on experience in developing scalable data processing and analytics solutions. Azure cloud ...
... dashboards for tracking critical KPIs. Extract, transform, and validate data from multiple sources using SQL (BigQuery) . Apply Python for automation, exploratory data analysis (EDA), and data transformation. Conduct statistical and trend analyses to identify opportunities and patterns. Implement modular data models and maintain ...
... product documents (Word, PowerPoint, Excel, PDF). Leverage multi-vector retrieval techniques to enhance the tool's functionality and effectively handle large data sets. Strong expertise in Python and PySpark with over 5 years of hands-on experience in developing scalable data processing and analytics solutions. Azure cloud ...
... self-serve to highly specialised market research use cases. The market research team works on developing large-scale web applications, state-of-the-art tech platforms, big data analytics, and mobile applications. Developing solutions and building flexible systems that balance engineering complexity and timely delivery, creating ...
... communication and IT platforms, serving across governments, businesses as well as individuals. With its Centre of Excellence for analytics platform solutions, big data, biometrics, mobile and retail.Specialties:Network Systems, Personal Solutions, Electron, Devices, Big Data, SDN, Cloud, Security, Energy and environment, ...
... Experience in Databricks and Delta tables. - Data engineering experience with Spark/Scala/Python. - Experience in Microsoft Azure stack (Azure Storage Accounts, Data Factory, and Databricks). - Experience in Azure DevOps and CI/CD pipelines. - Working knowledge of Python. - Comfortable participating in 2-week sprint development ...
... or enterprise intelligence. - Knowledge of SAP’s domains, data models, metadata structures and core business processes end-to-end. - Experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
... etc.) - Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree - Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such ...
... - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project ...