Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 3+ years applied experience.
- Experience across the data lifecycle
- Advanced at SQL (e.g., joins and aggregations)
- Experience with data structures, such as NoSQL, OTF, and RDMS.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience customizing changes in a tool to generate product
- Experience with various database technologies, such as MySQL, PostgreSQL, and MongoDB.
- Experience with analytics engines/platforms, such as Apache Spark and Hadoop.
- Experience with data migration and mapping complex relational data between business systems.
Preferred qualifications, capabilities, and skills
- Degree, or equivalent practical experience, in Computer Science, Information Systems, Data Science, or a related field.
- Exceptional analytical skills with the ability to translate business requirements into data engineering solutions.
- Experience of data science methods including statistical and analytical techniques.
- Experience in Data Mining techniques used in data science and data analytics.
- Excellent problem-solving abilities, attention to detail, and ability to work independently or in a team.
- Effective communication and interpersonal skills to foster relationships with stakeholders at all levels.
- Advocate for driving efficiencies, stabilization, and continuous improvement.