About the Job
We are seeking a skilled Data Engineer to support the RAN team. The role involves designing and building ETL jobs using AWS services, developing Python-based tools, and maintaining MySQL databases in AWS RDS. Responsibilities include performing SQL-based analysis, optimizing existing data processes, and enhancing automation workflows. The engineer will collaborate with IT, Business Intelligence, and non-technical teams to define needs and improve the data platform. Required skills include experience with relational databases, Python development, SQL analysis, cloud environments, and data visualization tools like Tableau. A degree in Computer Science or a related field is required.
Education Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years of experience in data field
Skills Required
- Experience with relational and non-relational databases such as MySQL and Data Lake solutions
- Experience in data engineering or data application development
- Hands-on development experience using Python, including extensive use of the standard module library and advanced modules in data modeling, data warehousing, ETL development, and process automation
- Experience in SQL-based analysis and data architecture
- Experience with version control tools such as GitLab
- Experience with data visualization tools such as Tableau
Experience Requirements
- 5+ Yrs experience in Experience in data engineering or data application development
- Experience in SQL-based analysis and data architecture
Role & Responsibilities
- Design and build ETL jobs using AWS services in a managed environment
- Develop Python-based tools and processes that solve operational and business problems
- Maintain, administer, and optimize running MySQL database instances in AWS RDS
- Perform SQL-based exploratory analysis using MySQL/SQL Server/AWS Athena/Snowflake technologies
- Monitor and maintain the existing data processes
- Provide enhancements for existing automation workflows and applications
- Partner with IT, the Business Intelligence team, and non-technical functional stakeholders to define needs and continuously improve the data platform
- Identify, prioritize, and resolve support issues in a timely manner
- Present results to key stakeholders in the form of visualizations and written explanations
- Innovate using newly available technology to improve business outcomes
