- Python, Spark &
- SQL

- Strong proficiency in designing and optimizing ETL/ELT pipelines using Python, PySpark, and SQL.

- Cloud Data Engineering (AWS + Snowflake)

- Hands-on experience building cloud-native data platforms using AWS services (S3, EMR, Lambda, etc.) and Snowflake.

- Solid understanding of data warehousing and cloud architecture.

- Data Pipeline Design &

- Orchestration

- Experience designing, developing, and maintaining scalable batch and event-driven pipelines.

- Hands-on experience with orchestration tools such as Airflow or Control-M.

- Software Engineering &

- DevOps

- Strong understanding of Git, CI/CD, automated testing, code reviews, Infrastructure as Code, and engineering best practices.

- Experience building production-grade, maintainable software.

Good-to-Have Skills

1. Investment Management Domain





- Knowledge of Asset Management, Portfolio Management, Risk, Trading, or Market Data domains.

1. Streaming &

- Event-Driven Architecture

- Experience with Kafka, Kinesis, Spark streaming or similar streaming technologies.

1. Containerization &

- Kubernetes

- Experience with Docker, ECS/EKS, Kubernetes, and containerized workloads.

1. API &

- Data Services

- Experience developing and consuming REST APIs and integrating with microservices.

1. Data Governance &

- Security

- Experience with data governance, metadata management, RBAC, Information Barriers, lineage, and cloud security best practices.

📌 Modern Data engineer (Bengaluru)
🏢 Fidelity International
📍 Bengaluru