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SENIOR DATA ENGINEER
GQR Global Markets • Boston, MA 02108 • Posted 4 days ago
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In-person • Full-time • Senior Level
Job Highlights
Using AI ⚡ to summarize the original job post
As a Senior Data Engineer at GQR Global Markets, you will be a key contributor to the investment data engineering function, focusing on building a platform to expand data capabilities across a broad array of asset classes. This role involves hands-on development with Python and SQL, working with AWS or other cloud infrastructure, and familiarity with various data platforms. The position requires a blend of software development skills and understanding of data systems to support the investment process.
Responsibilities
- Build a platform to expand data capabilities across a broad array of asset classes.
- Hands-on development with Python (Pandas, NumPy) for modeling/analytical work.
- Use SQL for data access and architecture.
- Work with AWS or other cloud infrastructure.
- Understand the best fit for various data stores (column, key-value, document, relational, time-series, and file stores).
- Work with AWS Cloud services (e.g., S3, EC2, ECS) with Terraform.
- Familiarity with data platforms such as Spark, MongoDB, Parquet, PostgreSQL, DynamoDB, and Redis.
Qualifications
Required
- Hands-on development experience with Python (Pandas, NumPy) for modeling/analytical work and SQL for data access and architecture.
- Experience with AWS or other cloud infrastructure.
- Familiarity with data platforms such as Spark, MongoDB, Parquet, PostgreSQL, DynamoDB, and Redis.
- Superior software, data modeling, profiling, and programming skills.
- Understanding of software system development life cycles.
Full Job Description
What You’ll Do:Building on a multi-decade history in quantitative equity, Acadian has expanded its reach into multi asset class, alternative equity, and systematic credit. The investment data engineering function will build a platform that will expand our data capabilities to operate with at significant scale across a broad array of assetclasses. We’re looking for a senior contributor to help design, build and support a data platform that will drive our investment process.Requirements:Hands on development experience with Python (Pandas, NumPy) for modeling/analytical work and SQL for data access and architecture; AWS or other cloud infrastructureUnderstands the best fit for column, key-value, document, relational, time-series and file storesWorking experience with AWS Cloud services (e.g. S3, EC2, ECS) with Terraform.Familiarity with data platforms such as Spark, MongoDB, Parquet, PostgreSQL, DynamoDB and Redis.Superior software, data modeling, profiling and programming skills to move quickly from concept to solution with solid understanding of software system development life cycles.Discipline(s): Financial ServicesDuration: PermanentJob type: Permanent
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