... Bachelor's degree in computer science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field. Master's Degree (Preferred) in Data Analytics, Artificial Intelligence, Machine Learning, or related domain. Certifications in Power BI, Google Cloud Platform (GCP), Data Analytics, or AI/ML will ...
... to automate regular reporting and reduce manual intervention. - BE/B. Tech in Computer Science/IT - 3+ years of experience in Analytics and SQL. - Excellent technical as well as communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. - Proficiency in data analysis ...
... pipeline development and reduce time to delivery. 4 to 6 years of experience in data engineering or a closely related discipline - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field - Hands-on experience building and operating data pipelines on Databricks or an equivalent AI-first data platform ...
... Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, ...
... skills – SQL or Oracle Data Visualization – Power BI is a must have, tableau or Qlik would be a good to have Exposure and familiarity with cloud platforms like Databricks on Azure and AWS Ability to optimize data pipelines to perform complex data transformations Build technical capability for self and the team starting with ...
... Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, pipelines, and analytics capabilities. This role manages the critical tension between high-performance technical execution and the delivery of ...
... (Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related discipline). Experience: 4–9 years of relevant experience in analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills:SQL: Expert in querying and transforming large-scale structured data. Python: Skilled ...
... management, anonymity logic, access control, and enterprise reporting requirements. Handle complex technical setups including HRIS data syncs, bulk employee data management, API integrations, custom configurations, multi-entity hierarchies, and enterprise-grade access rules. Partner with the People Science team to deliver ...
... https://jobeax.com/link/M8ebsC1nNQlhEQeQ :- Noida Sector 63 (Work From Office) For AWS Presales- Mumbai (Work From Office) For Data Center Presales- Bangalore (Work From Office) For Data Center PresalesJob Description : Data Center / Azure / AWS Presales Consultant- Proactively identifies and scopes the technical solutions necessary to address ...
Data Modeller / Data Engineer Location – PAN India As a Senior Data Modeller / Data Engineer, you will be responsible for designing and implementing enterprise‑grade data models and scalable data engineering solutions across cloud and on‑premise ecosystems. The role requires deep expertise in conceptual, logical, and physical ...
... development team, participating in Scrum ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency in Power BI and Snowflake. Programming Languages: Core coding ...
... environments, ensuring secure data transit and storage.- Excellent analytical skills to troubleshoot intricate network security issues and implement long-term technical solutions.- Ability to communicate complex security risks and technical requirements effectively to non-technical stakeholders and leadership teams.- A minimum ...
... clear, actionable insights. Work closely with Web Analytics, Data Science, BI and commercial teams to ensure consistency of data definitions and metrics. Support data quality, validation and documentation of key retail metrics and datasets. Present findings and recommendations clearly to both technical and non-technical stakeholders.
... Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, ...
... Modeler, ER Studio, Toad - Strong knowledge of SQL - Basic ETL knowledge including data mapping and transformation - Good data warehouse knowledge - Optional data visualization skills - Knowledge of data quality and data profiling techniques To qualify for the role, you must have - Computer science graduate or equivalent ...
... reliability and trust.- Develop and maintain data lakehouse solutions implementing medallion architecture patterns with bronze, silver, and gold layers for progressive data refinement.- Collaborate with offshore data engineering partners to deliver data engineering initiatives, providing technical guidance and ensuring quality standards.- ...
Technical Project Manager / Delivery Manager EduCrypt — EdTech SaaS Platform Experience We are looking for an experienced Technical Project Manager / Delivery Manager to own end-to-end delivery for EduCrypt, our EdTech SaaS platform. The role requires someone who is equally comfortable in sprint rooms and in architecture ...
... operations during quarterly closing cycles Collaborate with other team members to develop the software products within the team's scope. Design and implement data transformation services and data flows. Ensure technical design and implementation are in line with the application architecture and meet quality requirements ...
... Patient Services, Brand, and Field teams to translate business challenges into analytical solutions. Present complex analytical findings to technical and non-technical stakeholders, including senior leadership. Essential Skills/Experience: Education & Experience: Master's or PhD in Statistics, Biostatistics, Data Science, ...