Senior Cloud Data Engineer

Posted 24 Days Ago
Be an Early Applicant
Boston, MA
5-7 Years Experience
Financial Services
The Role
Design, deploy, and maintain scalable data architectures on cloud platforms using SQL and NoSQL databases. Develop and optimize data transformation processes using Apache Spark and cloud-native services. Build and maintain data pipelines for ingesting structured and unstructured data into cloud-based data lakes. Ensure data security, governance, and compliance. Collaborate on automation and continuous improvement initiatives.
Summary Generated by Built In

Job Overview

The Cloud Data Enablement Engineer is responsible for the management and evolution of state-of-the-art systems for Arrowstreet Capital. The individual will work within an energetic team to drive automation via Infrastructure as Code (IaC) and help design and implement cloud native data solutions. The ideal candidate will be self-driven and team oriented. The placed candidate will be surrounded by individuals who are committed to helping each other grow both personally and professionally. This role presents an ideal opportunity for an engineer looking to work on the latest technology, make a significant impact, and deal with large amounts of data.

Responsibilities

  • Design, deploy and maintain scalable, highly available, secure, and fault tolerant systems on AWS
  • Design and implement scalable and fault-tolerant data architectures on cloud platforms using SQL and NoSQL databases
  • Build and maintain data pipelines for ingesting structured and unstructured data from various sources (databases, APIs, streaming data, etc.) into cloud-based data lakes or data warehouses.
  • Knowledge of data warehousing concepts, dimensional modeling, and data modeling techniques.
  • Understanding of data security, governance, and compliance
  • With Infrastructure as Code in mind, work towards refining or writing CI/CD pipelines for complete automation (including testing)
  • Revise and/or propose solutions for continuous improvements in cloud cost management, health checks, security, monitoring, and control.
  • Assist teams with troubleshooting at different layers of cloud-native applications

Qualifications

  • Bachelor’s degree in computer science, systems analysis or a related study, or equivalent experience
  • 5+ years of experience in configuring and tuning cloud services (AWS, GCP, Azure), with AWS preferred.
  • 5+ years of experience in re-writing/re-platforming MS SQL Server database to AWS data services like AWS Redshift, AWS Aurora PostgreSQL, S3(parquet) 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).
  • Demonstrated competency with at least 2 of the AWS data services: AWS Redshift, Aurora PostgreSQL, DynamoDB (or MongoDB), AWS Glue (or EMR)
  • 2+ years of experience in building resilient CI/CD pipelines, strong knowledge of Git, and familiarity with a DevOps platform like GitLab, Jenkins or Bitbucket.
  • 2+ years of experience in container technologies like Docker, Kubernetes.
  • 2+ year experience with writing Infrastructure as Code with python/terraform/cloud formation
  • Good understanding of the Linux operating system and networking concepts.
  • Familiarity with tools like AWS OpenSearch, Prometheus, CloudWatch, CloudTrail, IAM resource and role policies
  • 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

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude, and initiative.

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

Top Skills

Python
SQL
The Company
HQ: Boston, MA
438 Employees
On-site Workplace
Year Founded: 1999

What We Do

Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds.

We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models.

Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.

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