In this role, you will have the opportunity to help build our Data Engineering organization from scratch. As a Data Engineer, you’ll design and build our data platform, pipelines, and integrations, support data products and machine learning initiatives. You will collaborate with leaders across the company to create unique data infrastructure, run tests on their designs to isolate errors, and updating systems to accommodate changes in company needs.
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Key Responsibilities
Design and develop scalable data pipelines and systems to support data integration, transformation and loading (ETL).
Collaborate with stakeholders to understand data requirements and deliver solutions.
Implementing methods to improve data reliability and quality.
Combining raw information from different sources to create consistent and machine-readable formats.
Developing and testing architectures for data extraction and transformation.
Building and maintaining optimal data pipeline architectures.
Assembling large, complex data sets.
Basic Qualifications
Bachelor's degree in computer science, engineering, or a related field.
Experience with data warehousing, ETL processes, and data modeling.
Proficiency in SQL and programming languages such as Python or Java.
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
Strong problem-solving and analytical skills.
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