Data Engineer at Tenarai
About the role
Must-Have Skills & Experience: Strong hands-on experience as a Data Engineer . Strong proficiency in Python . Experience building and maintaining large-scale Apache Spark pipelines on AWS. Strong knowledge of the modern AWS Data Lake ecosystem , including: Amazon S3 AWS Glue Data Catalog Amazon Athena Amazon EMR Amazon Redshift Experience designing and implementing reliable data ingestion, transformation, and validation pipelines at scale. Strong understanding of Data Lake architecture and best…
Interview process at Tenarai
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Tenarai interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.