Data Engineer II
- Req. Number: R24687
- Posted Date: 8/15/2024
- Address: 3900 Dallas Pkwy
- City, State: Plano, TX
- Postal Code: 75093
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Join Our Team
As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
Role Summary:
Data Engineer II
Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. Implement processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes that depend on it. Write unit/integration tests, contribute to engineering wiki, and document work. Automate manual processes and optimize data delivery. Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging Microsoft Azure technologies. Assist business users with report development through SQL queries, Power BI, or other query tools. Produce comprehensive usable dataset documentation and metadata. Work with internal customers to solve, implement, and lead through the deployment of technical solutions for their business needs. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Design data integrations and data quality framework. Understand and enforce data quality and governance standards like data lineage and traceability. Contribute to data strategy in support of data and data architecture scalability and ability to meet business needs. #LI-DNI
Master’s degree in Computer Science, Computer Engineering, Management of Information Systems, or a related field and 2 years of experience developing and maintaining scalable data pipelines; performing data modeling; and utilizing ETL/ELT processes, Microsoft Azure, SQL, Power BI, and Python.
OR
Bachelor’s degree in Computer Science, Computer Engineering, Management of Information Systems, or a related field and 5 years of experience developing and maintaining scalable data pipelines; performing data modeling; and utilizing ETL/ELT processes, Microsoft Azure, SQL, Power BI, and Python.
Job Location: Plano, TX
