Description

You will build and maintain the data infrastructure required to support predictive modeling and analytics.

Responsibilities

• Create and maintain optimal data pipeline architecture, including processes for data transformation, structures, and workload management.
• Assemble large, complex data sets from diverse sources to meet functional and non-functional business requirements.
• Identify and implement process improvements by automating manual tasks and optimizing data delivery for scalability.
• Develop algorithms, prototypes, and data tools to support data scientists and analytics teams.
• Perform root cause analysis on data and processes to resolve technical issues and improve system reliability.

Required Skills

• 5+ years of experience in a Data Engineer role.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a quantitative field.
• Advanced SQL knowledge with experience in query authoring and relational databases.
• Proficiency in Python and Java.
• Experience combining raw information from multiple sources and preparing data for modeling.
• Strong numerical and analytical skills.
• Experience working with cross-functional teams including product, design, and executive stakeholders.

Preferred Skills

• Data engineering certification, such as IBM Certified Data Engineer.

Key Skills

Education

Graduate degree in Computer Science,