Responsibilities As an Engineer on the full stack team, you will be dedicated to help design, implement, and maintain a modern, robust, and scalable platform which will enable the Operational Risk team to meet the increasing demands from the various trading desks.

Qualifications Proficiency in Python programming Strong expertise in SQL, Presto, HIVE, and Spark Knowledge of trading and investment data Experience in big data technologies such as Spark and developing distributed computing applications using PySpark Experience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy Understanding of data pipelines, ETL processes, and data warehousing concepts Strong experience in building and orchestrating data pipelines Experience in building APIs Write, maintain, and execute automated unit tests using Python Follow Test-Driven Development (TDD) practices in all stages of software development Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC Proficiency in developing serverless architectures using AWS services Experience with both relational and NoSQL databases Skills in designing and implementing data models, including normalization, denormalization, and schema design Knowledge of data warehousing solutions like Amazon Redshift Strong analytical skills with the ability to troubleshoot data issues Good understanding of source control, unit testing, test-driven development, and CI/CD Ability to write clean, maintainable code and comprehend code written by others Strong communication skills Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau

Required Skills : AWS Lambda,Python,SQL Basic Qualification : Additional Skills :

Background Check : No Drug Screen : No