Vacancy expired!
Data Engineer Responsibilities:
- Design and build ETL jobs in a managed AWS environment
- Provide support and enhancements for existing automation workflows and applications
- Perform SQL-based exploratory analysis using Apache Hive and Presto (AWS Athena)
- Communicate effectively with project stakeholders to gather requirements, identify operational shortcomings, propose technical solutions, and deliver production-ready outcomes
- Present results to key stakeholders in the form of visualizations, dashboards, and presentations
- Effectively identify and prioritize support issues and respond with the appropriate level of urgency
- Maintain concise documentation in a version control environment
- Degree in Computer Science, Mathematics, or a STEM related field
- 10 + years of data engineering or software development experience preferred
- Experience with AWS services including Data Pipeline, Lambda, CloudFormation, etc.
- AWS certification a major plus
- Hands-on development experience in Python required; additional languages a plus
- Experience with version control tools such as GitLab
- Strong knowledge of SQL-based analysis and data architecture
- Experience working in a Linux environment with knowledge of shell scripting
- Familiarity with Big Data Applications such as Hadoop
- Experience with data visualization tools such as Tableau and Excel
- Excellent verbal and written communication skills
- Strong organizational skills, attention to detail, and the ability to focus in a fast-paced workplace
Vacancy expired!