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
Solid understanding of Git, CI/CD, automated testing, code reviews, Infrastructure as Code, and engineering best practices.
Experience building production-grade, maintainable software.

Valuable-to-Have Skills
Investment Management Domain




Knowledge of Asset Management, Portfolio Management, Risk, Trading, or Market Data domains.
Streaming &
Event-Driven Architecture
Experience with Kafka, Kinesis, Spark streaming or similar streaming technologies.
Containerization &
Kubernetes
Experience with Docker, ECS/EKS, Kubernetes, and containerized workloads.
API &
Data Services
Experience developing and consuming REST APIs and integrating with microservices.
Data Governance &
Security
Experience with data governance, metadata management, RBAC, Information Barriers, lineage, and cloud security best practices.

📌 Modern Data Engineer Bengaluru (India)
🏢 Fidelity International
📍 India