Top Tech Jobs & Startup Jobs in Pune

Design and build scalable batch and real-time data pipelines using Databricks, PySpark, Structured Streaming, Delta Lake, and Medallion Architecture. Develop reusable ingestion and data quality frameworks, implement ABAC and RBAC security, and build agentic AI workflows using MCP and serverless computing. Create RAG pipelines with vector database integration, while managing governance, lineage, access controls, CI/CD, and LLM evaluation frameworks through Unity Catalog.

Develop and enhance Oracle FCCS applications, business rules, and calculation scripts. Manage data integration and automation activities, perform testing and deployments, provide production support, analyze requirements, and create technical documentation. The role requires strong Oracle FCCS and EPM Cloud experience across configuration, consolidations, data management, reporting, and application development.

Designs, configures, and supports Medallia Experience Cloud solutions for customer and employee experience programs. Develops surveys, workflows, dashboards, reporting, integrations, and text analytics. Manages data ingestion, transformation, validation, and reporting processes using APIs, Salesforce, SQL, and data warehouses. Collaborates with stakeholders to deliver scalable solutions, troubleshoot implementations, optimize performance, and support testing, deployments, and post-implementation activities.

Designs and implements data ingestion and data lake solutions using Big Data and open-source technologies. Develops cost-efficient, performant cloud data pipelines; integrates multiple data sources; supports analytics, reporting, and data science teams; optimizes infrastructure and query performance; and applies data mining techniques and ingestion APIs to populate data lakes.

Develop, optimize, and maintain scalable ETL/ELT data pipelines for structured and unstructured data using Python and PySpark. Ensure data quality through validation, cleansing, transformation, and reconciliation. Collaborate with technical and business stakeholders, troubleshoot performance issues, conduct code reviews, and implement coding standards and CI/CD pipelines. Work with big data frameworks, cloud platforms, databases, data models, schemas, and warehousing solutions.

Build scalable data pipelines for large datasets using Microsoft Fabric, Azure data services, advanced SQL, and Python/Spark. Develop data transformations and apply data modeling principles such as star schemas. Experience working with financial services data is desirable.

Design, develop, and support scalable low-code applications on the Appian platform. Translate client requirements into process models, SAIL interfaces, records, reports, rules, data stores, and integrations. Troubleshoot defects, perform root-cause analysis, document technical solutions, and ensure compliance with Appian best practices, quality standards, and delivery procedures.

Develop and maintain scalable React frontend applications using TypeScript, JavaScript, Redux Toolkit, and modern React patterns. Architect reusable component systems, build accessible responsive interfaces, integrate REST and GraphQL services, optimize performance, and create automated tests. Collaborate with product, UX, backend, and architecture teams. Use AI-assisted development tools for coding, refactoring, debugging, and documentation while following Agile SDLC practices. Preferred experience includes CI/CD platforms, cloud deployment, micro frontends, and integrating generative AI capabilities.

Develop, maintain, and optimize native Android applications using Kotlin. Design responsive UIs, integrate features into existing codebases, troubleshoot performance and stability issues, conduct testing and debugging, follow architecture and coding best practices, and collaborate with designers, backend developers, QA teams, and stakeholders.

Design, develop, and support scalable Appian low-code applications, including SAIL interfaces, process models, records, reports, rules, and data stores. Translate client requirements into robust solutions, build REST/SOAP and JDBC integrations, troubleshoot defects, perform root-cause analysis, and maintain technical documentation, compliance, and quality standards.