We are looking for someone with the following skills :

- Strong SQL and Data Modelling skills Hands-on experience writing complex SQL for data transformation, analytics, and performance optimization, with solid understanding of data modelling principles for warehouse/lake-house environments.
- Python / modern programming for data engineering Proficiency in Python for building scalable ETL/ELT pipelines, data processing workflows, automation, and integration across data platforms.
- Cloud data platform experience Practical experience with modern cloud ecosystems such as AWS, Azure, or GCP, including managed data services, storage, compute, and orchestration patterns.
- Contemporary data pipeline and orchestration tools Experience designing and maintaining reliable batch and/or streaming pipelines using tools such as Airflow, dbt, Spark, Kafka, or equivalent modern data stack technologies.
- Data warehouse / lakehouse architecture knowledge Strong understanding of modern data architecture concepts including data lakes, data warehouses, lakehouses, medallion-style layering, data quality,



and scalable ingestion/serving patterns.

Good to Have Skills
- Experience with big data / distributed processing frameworks Exposure to Spark, Databricks, Flink, or similar technologies for large-scale data transformation and processing.
- Data governance and data quality practices Familiarity with lineage, cataloging, schema management, observability, data testing, and governance controls.
- CI/CD and infrastructure-as-code for data platforms Experience with Git-based workflows, Terraform, Docker, Kubernetes, and deployment automation for data engineering solutions.
- Streaming / real-time data experience Knowledge of event-driven architectures and real-time ingestion/processing using Kafka, Kinesis, Pub/Sub, or similar tools.
- Business intelligence and analytics enablement Ability to work closely with analytics, product, and business teams to deliver curated datasets that support reporting, dashboards, and self-service analytics.

📌 Data Engineer (SQL+Python+AWS) (Bengaluru)
🏢 Fidelity International
📍 Bengaluru