Data Engineer - AWS/Databricks
Job Description
About this kind of role
What a Data Engineer - AWS/Databricks usually does. The employer's own details are in the listing.
Typically does: Data Engineers build and maintain data pipelines that collect, process, and store large datasets. They design and implement data warehousing solutions, ensuring data quality and accessibility for analysis. This often involves transforming raw data into usable formats and optimizing data infrastructure for performance. They also monitor and troubleshoot data systems, addressing issues and improving efficiency.
Tools and skills: Proficiency in programming languages like Python or Scala, experience with cloud platforms such as Amazon Web Services (AWS), and familiarity with big data technologies like Databricks, Spark, and Hadoop are generally required.
Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively in a technical environment often thrive in this role.
??? people applied to this job
A full-time year is 2,080 hours: $30 an hour is $62,400 a year before taxes, and $60,000 a year is $28.85 an hour. Pay calculator →
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