Jobs at ScatterPie Analytics Private Limited

Lead Tableau-based BI development, including dashboard design, development, deployment, administration, security, data modeling, and data blending. Collaborate with project managers and management to gather requirements, resolve issues, deliver projects on schedule, maintain quality, and contribute innovative visualization ideas. The role requires strong Tableau Server and Desktop expertise, SQL and PL/SQL knowledge, database experience, analytical ability, and leadership through professional conduct.

Hands-on senior full-stack developer responsible for designing FastAPI backend services, building ReactJS components, owning features through deployment, reviewing code, debugging across the stack, mentoring junior developers, and participating in client feature discussions. The role requires strong execution leadership, AWS deployment experience, API integration, database design, and adherence to established architecture.

Leads day-to-day execution and delivery of B2B applications, breaks requirements into tasks, coordinates developers, and tracks timelines. Develops Python FastAPI backend APIs, supports ReactJS frontend integrations, and works with Node.js services. Reviews code, resolves blockers, coordinates QA/UAT and production releases, and communicates status to clients and senior stakeholders. Requires hands-on full-stack development, Agile delivery experience, client-facing communication, and leadership across development teams.

Design, develop, optimize, and maintain scalable data pipelines using Databricks, PySpark, Delta Lake, SQL, and Azure services. Responsibilities include data modeling, ETL development, governance, troubleshooting, root-cause analysis, production-code optimization, and performance improvement. The role collaborates within an agile Scrum team, independently delivers production-ready code, contributes to architecture discussions, and uses DevOps practices such as Git and CI/CD.

Supports the Principal Consultant by reviewing backend and frontend architectures, defining non-functional requirements, conducting design and code reviews, guiding AWS decisions, enforcing API and security standards, identifying technical risks, and mentoring developers. Serves as a technical escalation point while focusing on architecture governance and platform quality rather than delivery ownership, sprint planning, or feature implementation.

Design, develop, optimize, and maintain scalable data pipelines using Databricks, PySpark, Delta Lake, SQL, and Azure services. Apply ETL, data modeling, governance, and DevOps practices while troubleshooting data issues, conducting root-cause analysis, and improving pipeline performance. Collaborate within an agile scrum team, independently deliver production-ready code, and contribute to architecture and design discussions.

Develop and deliver BI dashboards and reports using the Power BI ecosystem. Responsibilities include connecting, importing, shaping, and transforming data; creating visualizations; scheduling automated refreshes; supporting data integration and testing; and working with SQL Server, SSRS, data warehouses, and data models. The role also requires familiarity with Tableau and other visualization tools, plus strong analytical, creative, communication, and organizational skills.

Design and maintain scalable data pipelines using Python and PySpark; build FastAPI REST APIs; develop SQL queries and transformations; apply data warehousing, modeling, and ETL/ELT practices; support CI/CD deployments; perform data profiling and quality checks; gather requirements; document solutions; and contribute to architecture and process improvements.

Own full-stack modules from design through deployment using Python FastAPI, ReactJS, and AWS. Build backend services, frontend workflows, API integrations, and database solutions; debug complex issues across the stack; review associate developers’ code; ensure architectural alignment; mentor junior developers; and participate in client-facing feature walkthroughs.

Lead the design, development, and delivery of Power BI dashboards and business intelligence services. Transform, integrate, model, and visualize data; develop reports; schedule automated refreshes; and support testing and security. The role requires data warehousing and BI development experience, strong SQL and data modeling skills, familiarity with SQL Server and Oracle, and exposure to visualization tools such as Tableau, QlikView, and Spotfire.

Lead end-to-end data engineering projects across Azure and AWS, including requirements gathering, technical roadmaps, scalable data pipelines, ETL, data integration, sprint planning, resource allocation, risk management, and delivery tracking. Manage client relationships, stakeholder communication, demos, and retrospectives while ensuring timelines, quality, and budget adherence. Collaborate with data engineers and BI developers and recommend emerging data engineering tools and practices.