Top Tech Jobs & Startup Jobs in Delhi

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.

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, 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.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Designs and manages Azure DevOps CI/CD pipelines; integrates source control, testing, security, and artifact tools. Containerizes applications with Docker and deploys them to Kubernetes and AKS. Automates Azure infrastructure using Terraform and ARM templates, implements monitoring and alerting, troubleshoots Azure data services, and develops data pipelines for Azure Data Factory, Data Lake, and Databricks.