What are the responsibilities and job description for the Data Engineer-Data Validation position at Mango Analytics?
Job Summary Data Engineer (Lewisville, TX / Detroit, MI, Onsite)
- Design, implement, and optimize data storage solutions using Snowflake and SQL databases to support analytics and reporting.
- Collaborate with technical teams, analysts, and business stakeholders to gather requirements and deliver reliable, high-quality datasets.
- Ensure data security, compliance, and governance by applying best practices, including RBAC and encryption.
- Monitor and troubleshoot data workflows to maintain performance, reliability, and cost-efficiency in cloud environments.
- Automate data integration and transformation processes using Python scripting.
- Apply advanced SQL programming (PL/SQL, T-SQL) and maintain expertise in Python programming.
- Architect and deliver enterprise data and analytics solutions, focusing on data warehousing, big data, and both relational and NoSQL databases.
- Define and implement data security standards, including encryption, auditing, and monitoring.
- Preferred: Experience with DevOps (CI/CD), infrastructure as code, REST API development (Java Spring Boot, Python), Agile methodologies, API integrations (RESTful, SOAP), and familiarity with data/analytics in the banking sector.