Modern Data Engineer

About the Opportunity

The Modern Data Engineer is responsible for designing, implementing, and maintaining scalable data architectures using cloud technologies, primarily on AWS, to support our next evolutionary stage of the Investment Process. They build robust data pipelines, optimize data storage, and access patterns, and ensure data quality while collaborating across engineering teams to deliver high-value data products

Core Technical Skills

Overall, 3 to 5 years of relevant experience in below skills

• Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture)
• AWS Ecosystem: Strong knowledge of AWS services including Lambda, Glue, and S3
• Streaming Architecture: Understanding of event-based or streaming data concepts using Kafka
• Programming: Strong proficiency in Python and SQL
• DevOps: Experience with CI/CD pipelines and infrastructure as code (Terraform)
• Data Security: Knowledge of implementing basic data access controls
• Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases
• Data Integration: Understanding of data integration patterns and techniques
• Orchestration: Experience using workflow tools (Airflow, Control-M, etc.)
• Engineering Practices: Experience with GitHub, code verification, and validation
• Domain Knowledge: Basic knowledge of investment management industry concepts

Bonus technical Skills:

• Understanding of containerization concepts
• Exposure to API development using Python-based frameworks
• Basic familiarity with Asset Management data domains