Job Description

Vidushi Infotech: Join a Dynamic Team and Shape the Future of Technology About us: Vidushi Infotech Software Solutions Provider Private Limited, founded in 2003 and headquartered in Pune, India, is a global digital transformation company with a direct presence in India, the USA, Panama, and New Zealand. This strategic presence allows us to provide focused support and tailored solutions to our clients in these key regions. Coupled with our indirect reach through strategic partnerships in over 90 other countries, we offer a truly global service network. With over 21 years of experience, we offer a comprehensive suite of IT solutions, encompassing high-quality web and mobile application development, as well as robust IT security services. Our expertise extends to cloud services, business applications, ERP, CRM, and disruptive technologies such as Blockchain, Artificial Intelligence, Machine Learning, IoT, Bots, and Data Science. We also provide comprehensive cybersecurity solutions. Serving a diverse global clientele across various industries, government agencies, and business segments, we cater to the evolving needs of businesses worldwide. Our reach spans North and South America, the UK, Europe, Africa, the Middle East, Asia, New Zealand, and Australia. Through strategic partnerships and tailored advice, we empower our customers to drive innovation, achieve sustainable growth, and build successful businesses. Our highly qualified and experienced management team leads a talented group of software engineers dedicated to delivering world-class products and services. At Vidushi Infotech, we are committed to excellence in all that we do, and we strive to provide exceptional value to our clients. Key Benefits: Career Growth: Advance your skills and take on challenging projects. Collaborative Culture: Work with a passionate and supportive team. Global Impact: Contribute to innovative solutions that serve clients worldwide. Cutting-Edge Technology: Stay at the forefront of technological advancements. Competitive Compensation: Enjoy competitive salaries and benefits. Ready to make a difference? Join Vidushi Infotech and embark on a rewarding career journey. Data Manager The data modeler designs, implements, and documents data architecture and data modelling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. The successful candidate will: Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Skills Bachelors or masters degree in computer/data science technical or related experience. 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-datacenter contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation.