- Bachelor's or master's degree in computer science, Data Engineering, Information Technology, or related field.

- 4-8 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, agile environments.

📌 Python Fullstack Developer+Devops-Senior Associate (Bengaluru)
🏢 PwC
📍 Bengaluru