Job Description
About this kind of role
What a Mid-Level/Lead Data Engineer-AWS & DB2 (HYBRID) usually does. The employer's own details are in the listing.
Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. This role involves optimizing data infrastructure for performance and scalability, ensuring data quality and reliability, and collaborating with data scientists and analysts. They often develop and implement data models, and automate data processes. Troubleshooting data-related issues and documenting data architectures are also common responsibilities.
Tools and skills: Proficiency in cloud platforms like Amazon Web Services (AWS), database management systems such as Db2, SQL, Python or Scala for data processing, and experience with ETL tools is generally required.
Good fit for: Individuals with a strong analytical mindset, a passion for data, and the ability to work both independently and collaboratively within a team are typically successful in this role.
In September, US employers made hires equal to 3.4% of all jobs, and layoffs equal to 1%, says the Bureau of Labor Statistics. The job market now →
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