Data Engineer
Core
Design, build, and support scalable data pipelines, platforms, and information services for transaction processing, accounting, valuation, and portfolio management in the Fund & Investment Management domain.
Role type
Data Engineer
Builds
Data pipelines, datasets, and reusable data products for investment life cycle management
Domain
Financial Services / Investment Management
Deliverable
production ML models
Required skills
SQL, Java, Python, Snowflake, AWS (RDS, Fargate, Glue), ETL tools, Data Warehousing
Preferred skills
PostgreSQL, MS SQL, Apache Airflow, Control-M, Kafka, SQS, Amazon Kinesis, React, TypeScript, AWS certifications, Agile frameworks
Technologies
Snowflake, AWS, Java, Python, SQL, Apache Airflow, Kafka, React, TypeScript
Responsibilities
Design and implement scalable data ingestion, transformation, and distribution capabilities; Build, enhance, and maintain data platforms, datasets, and reusable data products; Design logical and physical data structures; Improve availability, performance, observability, recoverability, and cost efficiency of data services; Automate data operations, quality controls, deployment, and maintenance activities; Build and maintain data pipelines using modern orchestration tools
Seniority
Mid-level (3+ years experience)
