Associate Data Engineer

Our client is a global asset manager and technology provider dedicated to helping people experience financial well-being. They assist millions in investing to build savings that serve them throughout their lives. By always prioritizing their clients’ needs, they strive to offer more quality choices for how and where to invest.

Their global investment platform provides clients with access to world markets, making investing easier and more affordable. With offices in over 40 countries, their global expertise helps clients navigate changing markets and stay ahead of the curve.

Responsibilities:

• Ability to troubleshoot problems in a live environment and provide real time help with critical issues.
• Write code that is easily understood and maintainable by other team members.
• Keep up to date with developments in technologies we are using.
• Ability to communicate and work effectively, supporting various business departments.
• Ability to work in fast-paced interdisciplinary environment.

Requirements

• BA/BS in Computer Science or equivalent practical experience. 
• At least 3+ years of post-university experience as a full-stack engineer.
• Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.
• Strong knowledge of Python.
• Solid knowledge SQL and relational databases.
• Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.
• Experience working in a cloud environment (AWS, Azure, GCP).
• Familiarity with popular Python data analytics frameworks.
• Familiarity with Snowflake or other large analytics engines.
• Experience with data warehousing and working in environments with large scale, complex analytics requirements.
• Familiarity with DAG-based job scheduling tools.
• Cloud-native container orchestration platforms and tools.
• Experience working in the Financial Services industry.