Fullstack Developer

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PFB Job description and kindly connect and let me know if interested or Share your CV on [email removed] or if you have any references it will be helpful.

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 fast-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