Jobs at ScatterPie Analytics Private Limited

Designs, develops, and maintains SQL- and Python-based data pipelines and ETL processes. Performs data cleaning, validation, quality assurance, database optimization, and transformation of raw data into structured datasets for reporting and analytics. Processes data from databases, CSV, and Excel files, automates repetitive tasks, supports production troubleshooting, collaborates with stakeholders, and documents workflows.

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.

Conduct market research, identify target companies and decision-makers, generate qualified B2B leads, and maintain accurate customer databases using spreadsheets or CRM tools. Support sales outreach by providing verified contact lists, tracking research activities, and updating lead statuses. The role requires strong internet research, analytical, communication, and organizational skills, with preferred knowledge of B2B market research, lead generation, customer database management, and LinkedIn research.

Manage end-to-end IT recruitment, including sourcing, screening, initial interviews, technical-round coordination, candidate tracking, onboarding, employer branding, and campus hiring. Partner with hiring managers to understand technical staffing needs and maintain a positive candidate experience. The role requires familiarity with IT roles, hiring trends, and recruitment platforms such as Naukri, LinkedIn, and Indeed.

Designs, develops, and maintains scalable Azure-based data solutions. Builds ETL/ELT pipelines with Azure Data Factory, manages Blob Storage and ADLS, optimizes Azure SQL databases, and develops ingestion and transformation workflows. Monitors and troubleshoots production pipelines while implementing data quality, security, and governance practices. Collaborates with engineers, analysts, and stakeholders and supports deployment, maintenance, architecture discussions, and continuous improvement of cloud data platforms.

Develop and maintain ReactJS frontend features and Node.js or Python backend APIs. Integrate REST APIs, debug issues, fix bugs, implement enhancements, support testing and UAT, and write clean reusable code. Collaborate with senior developers through task execution and code reviews, participate in stand-ups, and provide progress updates. The role requires one year of development experience and contributions to at least three applications or projects.

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.

Develops, designs, deploys, and maintains business intelligence dashboards and services using the Tableau ecosystem. Collaborates with project managers and management to understand requirements, resolve issues, meet delivery timelines, and maintain quality. Requires Tableau Server and Desktop expertise, Tableau administration and maintenance experience, SQL and PL/SQL knowledge, data modeling skills, database experience, analytical ability, communication, and creative problem-solving.

Designs, develops, and maintains Tableau dashboards and reports; connects multiple data sources; creates calculated fields, parameters, filters, and LOD expressions; optimizes performance and data accuracy; troubleshoots reporting issues; and collaborates with stakeholders and technical teams to deliver governed, data-driven insights.

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.

Develop and deliver business intelligence dashboards and reports using Power BI. Connect, import, shape, and transform data; create visualizations; schedule automated refreshes; and support data integration and testing. The role requires data warehousing, SQL, PL/SQL, data modeling, Microsoft SQL Server, Oracle, SSRS, and familiarity with alternative visualization tools such as Tableau, QlikView, and Spotfire.

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.

Drive revenue growth by identifying new business opportunities, managing the full B2B sales cycle, building client relationships, closing deals, maintaining CRM pipeline forecasts, achieving revenue targets, and expanding existing accounts through upselling and cross-selling. Collaborate with presales and delivery teams to develop client solutions and proposals.

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, customize, test, and deploy Salesforce applications using Apex, Visualforce, and Lightning components. Configure Salesforce objects, workflows, process builders, and validation rules; integrate Salesforce with external systems through REST/SOAP APIs and middleware; troubleshoot and unit-test solutions; gather requirements from stakeholders; collaborate across teams; and maintain technical documentation.

Own the full B2B sales cycle, from prospecting and cold outreach through product demonstrations, proposals, negotiation, and closing. Build relationships with CXOs and enterprise leaders, advise prospects on data, analytics, and AI solutions, develop account strategies, and maintain accurate forecasts for large deals. Collaborate with presales, delivery, product, legal, and finance teams while helping establish scalable sales processes.

Develop and maintain scalable big data applications using the Hadoop ecosystem. Build ETL pipelines for data ingestion, transformation, and processing; optimize workflows; monitor and troubleshoot Hadoop jobs; and support data quality, security, and governance. Collaborate with data scientists, BI teams, and analysts to meet business needs.

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.