Python, Spark & SQL

Robust 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.

Strong 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

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)
🏢 Fidelity International
📍 Bengaluru