10741 - Data Engineer I
September 5
🏢 In-office - Los Angeles
Description
• Develops and maintains scalable data pipelines for API integrations • Collaborates with business teams to improve data models for analytics • Implements systems to monitor and ensure data quality • Contributes to platform quality through tests and version control • Performs data analysis to troubleshoot issues • Defines company data assets and schemas • Evaluates open source and vendor tools for data integration and quality • Utilizes industry reports to support business intelligence • Creates dashboards and reports for trend analysis • Supports analytical reporting for stakeholders
Requirements
• BS or MS degree in Computer Science or other related technical field • Knowledge of Python, R, or Java development experience • Knowledge of SQL experience (No-SQL experience is a plus) • Knowledge of experience with schema design and dimensional data modeling • Good understanding of data IoT and well-known data management applications: Oracle Database, SAP HANA, AWS Solution Stack, RDMS, Snowflake, Databricks, etc. • Understanding data visualization development applications such as: Tableau, QlikView, Quicksight, etc • Advanced Excel knowledge using features such as pivot tables, v-lookups, and macros • Proficient in Microsoft Word, Excel, and PowerPoint required. • Advanced skills in Excel formulas and data analysis preferred. • A fast learner with the ability to learn new software and technologies quickly with minimal guidance.
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