Senior Data Engineer Interviewer
Core
Conduct technical interviews to assess Senior Data Engineers' expertise in cloud architecture, data platforms, and engineering best practices.
Role type
Senior Data Engineer (Technical Interviewer)
Builds
Hiring recommendations for Senior Data Engineering roles
Domain
Data Engineering / Cloud Infrastructure
Deliverable
client delivery
Required skills
Data engineering principles, Cloud architecture (Azure/AWS/GCP), ETL/ELT pipelines, SQL, Data modeling, Python, Distributed data processing (Apache Spark), Data security patterns, Technical assessment
Preferred skills
Technical interviewing experience, Cloud certifications, Modern data technologies (Databricks/Snowflake/BigQuery), Orchestration tools (Airflow/dbt), CI/CD, Infrastructure as Code, Enterprise environment experience, Mentoring
Technologies
Azure, AWS, GCP, Apache Spark, Databricks, Snowflake, BigQuery, Redshift, Synapse Analytics, Airflow, dbt, Azure Data Factory, AWS Glue
Responsibilities
Conduct 60-minute technical interviews, Evaluate hands-on experience with data platforms, Assess technical depth and problem-solving, Explore previous projects, Evaluate knowledge of data lakes/lakehouses/warehouses, Assess communication skills, Complete interview scorecards, Collaborate on evaluation standards, Improve interview processes
Seniority
Senior, hands-on IC
