AWS Data Engineer at Symphony Solutions
About the role
Role: AWS Data Engineer Location: Austin, TX(Hybrid) Key Responsibilities: Develop and execute a strategic roadmap for data processing, storage, and analytics aligned with organizational goals. Design, implement, and maintain robust data pipelines using Python and Airflow, ensuring efficient data flow and transformation for analytical and operational purposes. Experience with Python, Airflow, S3, Spark(Glue, EMR), Kafka (SQS, Event Bridge), Integration(AppFlow, APIs), AWS Services, Redshift, EM…
Interview process at Symphony Solutions
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 Symphony Solutions interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.