Design, develop, test, and deploy Workday reports and Prism Analytics solutions to support business requirements. Integrate Workday with enterprise applications using APIs and integration tools, troubleshoot reporting and integration issues, develop complex SQL queries for data retrieval, collaborate with stakeholders to gather reporting requirements, optimize reporting performance, and deliver scalable analytics solutions while ensuring data accuracy and system reliability.

Design and build Workday Extend applications, develop orchestrations, integrate REST/SOAP APIs, create business objects, manage security, monitor applications, optimize performance, CI/CD, version management and production support.

About the Role: We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python , and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization. Key Responsibilities: Data Modelling & Visualization Build scalable and high-quality data models in Po.

Design, develop and deploy AI/ML models, build scalable data pipelines, optimize retrieval architectures, integrate AI testing into CI/CD pipelines, and deliver enterprise AI solutions.

Role: Backend Engineer Location: Pune/Nagpur, MH (Work from office, Hybrid can be done) Employment Type: Full-Time with Quanta Systems Technologies LLP (Quantum Integrators) Shift Time: EST Shift (06.30 PM to 03.30 AM IST) Role Overview: Supports experimentation infrastructure by developing APIs and backend logic required for experiments and personalization. Key Responsibilities: Build backend services, integrate APIs, implement routing logic and data services, and support experiment configurat.

Design and implement scalable machine learning solutions using Azure Cloud technologies. Build predictive models, perform feature engineering, integrate ML solutions into software systems and collaborate with data engineers to deliver business-focused AI applications.

Develop advanced machine learning and deep learning models to solve business challenges. Work on predictive analytics projects, optimize models, collaborate with stakeholders and utilize GCP tools including Vertex AI and BigQuery. Support healthcare and insurance domain analytics initiatives.

Build AI-powered applications using Python and modern AI frameworks. Develop APIs, integrate large language models, optimize prompts, manage vector databases, and support intelligent automation solutions.

Develop full-stack web applications using Python and modern frontend technologies. Create APIs, integrate third-party services, implement business requirements, and ensure application performance and security.

Location: Pune / Bengaluru (Hybrid) Experience: 6 Years Employment Type: Full-Time About the Role We are seeking an experienced Data Analyst with strong expertise in Python, PySpark, and SQL to support large-scale data analytics initiatives within the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will possess strong analytical capabilities, hands-on experience working with complex datasets, and the ability to translate business requirements into actionable ins...