Cloud Data Engineer
3 weeks ago
The Investment Process Engineer at Arrowstreet Capital is responsible for ensuring the fidelity of our Data-Driven Investment Process. This involves building visibility and recovery mechanisms for our modern distributed investment process. The daily investment process includes processing external vendor data and the data flow through pre trade, optimization, post trade, and reporting. Our modern investment process is driven by many common frameworks, distributed platforms, and applications with complex dependencies. This requires a systematic approach and consistent tooling to maintain a comprehensive view and reduce process debt.
Responsibilities
Develop cloud-native solutions to enable visibility, rapid response, and reduce mean time to recovery of the end-to-end data-driven investment process. Design and build a system to interact with distributed investment process applications to obtain relevant information for observability and management. Work with key stakeholders to build tooling to visualize the investment process network, identify potential system risk factors, and capacity issues. Design and build the ability to run simulations through the entire system. Knowledge of data warehousing concepts, dimensional modeling, and data modeling techniques is required. The successful candidate will be accountable for the completion of assigned deliverables in a timely manner with little day-to-day management. They will be able to assess the trade-offs of different candidate systems, processes, or technologies. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal financial and system data visualization solutions. Working with cross-functional teams, you will participate in gathering and documenting requirements to meet business needs and use those requirements to help design, develop, test, and implement reports and dashboards that utilize the underlying data to deliver cutting-edge process management products.
Qualifications
Bachelor's degree in computer science, systems analysis, or a related study, or equivalent experience. 5+ years of experience building cloud-based applications in Python. 5+ years of experience with cloud services (AWS, GCP, Azure), with AWS preferred. 5+ years of experience with AWS data services like AWS Redshift, AWS Aurora PostgreSQL, S3 (parquet), Athena, or DynamoDB. 3+ years of experience in developing and optimizing data transformation processes using tools like Apache Spark or cloud-native services (e.g., AWS Glue, EMR). 2+ years of experience in building CI/CD pipelines, strong knowledge of Git. 2+ years of experience in container technologies like Docker, Kubernetes. 2+ years of experience with writing Infrastructure as Code with Python/Terraform/Cloud Formation. Familiarity with tools like AWS OpenSearch, Prometheus, CloudWatch, CloudTrail, IAM resource, and role policies. Prior experience with Object-Oriented languages like C# or Java is a plus. Prior AWS Certifications would be a plus. Previous experience writing cloud-native applications using AWS SAM (or serverless), Lambda, Step Functions, and/or DynamoDB would be a plus.
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