Description

You will build, optimize, and maintain scalable data pipeline architectures and delivery systems.

Responsibilities

• Design, construct, test, and maintain data architectures and automated data pipelines.
• Develop custom data models, algorithms, and processes for data modeling and production.
• Automate repeatable data preparation and integration tasks to optimize data flow.
• Lead the development of data governance policies and best practices for data consumers.
• Collaborate with cross-functional teams to implement models and monitor data accuracy.

Required Skills

• Expertise in SQL and PL/SQL.
• Proficiency in Python and C# for object-oriented scripting and advanced analytics.
• Experience building and managing pipelines for large, heterogeneous data sets.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.
• Experience with SSIS, SSAS, and Microsoft MDM/MDS.
• Hands-on work with BI tools like Tableau or Power BI.
• At least five years of experience in data management, integration, and modeling.
• Bachelor's or Master's degree in computer science, statistics, or a related quantitative field.

Preferred Skills

• Experience working with financial and legal industry data.

Key Skills

Education

Bachelor's or Master's degree in computer science