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Senior Associate Full Stack Developer (Data & Backend Engineering)

PwC US – Acceleration Center

Responsibilities

- Collaborated with product owners, LLM engineers, data engineers, cloud/platform teams, and security teams to deliver enterprise-scale backend and full stack solutions.
- Designed and developed scalable RESTful and GraphQL APIs and microservices for AI-driven applications.
- Built and optimized ETL/ELT pipelines supporting batch and streaming workflows.
- Implemented data ingestion, transformation, validation, and orchestration processes.
- Designed and managed relational, NoSQL, and data warehouse systems.
- Developed event-driven architecture using Kafka, Azure Service Bus, and Pub/Sub.
- Integrated backend systems with LLM platforms, enterprise applications, and cloud data platforms.
- Built frontend applications using ReactJS, Streamlit, and Django.
- Collaborated with UX designers, product managers, and stakeholders to translate business requirements into intuitive, user-centered interfaces.
- Designed and implemented responsive, accessible, and cross-browser compatible UI components using modern frontend frameworks.
- Optimized frontend performance through code-splitting, lazy loading, caching strategies, and bundle size reduction.
- Implemented role-based UI personalization and dynamic rendering based on user permissions and enterprise security policies.




- Integrated frontend applications with RESTful and GraphQL APIs to enable seamless data exchange between UI and backend microservices.
- Implemented Docker-based containerization and Kubernetes orchestration.
- Ensured scalability, security, governance, and compliance with data privacy standards.
- Implemented observability practices including logging, tracing, and monitoring.
- Conducted load testing and performance optimization.
- Used Infrastructure-as-Code tools (Terraform, ARM, CloudFormation) for cloud deployments.
- Contributed to CI/CD pipelines using GitHub Actions and Azure DevOps.

Core Requirements

- Bachelor's or master's degree in computer science, Data Engineering, Information Technology, or related field.
- 4–6+ years of experience in backend engineering, data engineering, or distributed systems.
- Strong programming expertise in Python, PySpark, and SQL.
- Hands-on experience building and deploying RESTful or GraphQL APIs in production.
- Experience designing and implementing ETL/ELT pipelines, batch processing, and streaming systems.
- Strong knowledge of SQL and NoSQL databases, including schema design, indexing, and performance tuning.
- Experience with event-driven architecture (Kafka,



Azure Event Hubs, Pub/Sub).
- Experience working with cloud platforms (Azure, AWS, or GCP).
- Hands-on experience with Docker and Kubernetes.
- Experience with Infrastructure-as-Code tools (Terraform, ARM, CloudFormation).
- Familiarity with CI/CD pipelines and DevOps practices.
- Strong understanding of distributed systems, scalability, and reliability engineering.
- Knowledge of data privacy, governance, and compliance standards.
- Excellent analytical, problem-solving, communication, and collaboration skills.
- Ability to work effectively in quick-paced, dynamic environments.
- Ability to develop front-end applications using Python, ReactJS & Streamlit

Nice to Have Skills

- Experience with orchestration tools such as Airflow, Prefect, or Azure Data Factory.
- Experience with data validation frameworks and data quality monitoring tools.
- Experience working with data warehouses such as Snowflake, Synapse, or BigQuery.
- Experience with object storage platforms such as Azure Blob Storage, Amazon S3, or Google Cloud Storage.
- Experience implementing caching solutions using Redis.
- Familiarity with observability tools such as OpenTelemetry, Application Insights, Datadog, Prometheus, or Grafana.
- Experience with load testing tools such as K6, JMeter, or Postman.
- Experience integrating backend systems with LLM platforms or AI-driven applications.

Education BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Master’s Degree / MBA from a reputed institute

📌 Fullstack Developer (Bengaluru)
🏢 PwC
📍 Bengaluru