Senior Data Engineer

Serve as the subject matter expert in technologies used for our data strategy in the cloud

Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals

Solve complex data problems to deliver insights that helps the organization's business to achieve their goals

Create data products for analytics and data scientist team members to improve their productivity

Advise, consult, mentor and coach other data and analytic professionals on data standards and practices

Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team

Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives

What You Will Need to be Qualified:

Bachelor’s degree in a quantitative discipline such as Computer Science, MIS or related field with 10 years of related experience

Related Experience includes but is not limited to: Development and tuning on any RDBMS technology (Oracle, SQL Server, Teradata, SingleStore)

Strong knowledge of using Spark for fast imagery and big data processing

Expert knowledge in managing and tuning of Data Lake and Lakehouse storage objects with accompanying data engineering pipelines

Expert knowledge in Python and SQL development and troubleshooting