Data Engineer Technical Interviewer
Budget: $25 – $50 CAD
I'm looking for an experienced technical interviewer for a Data Engineer position. The ideal candidate will have a solid background in data engineering and the ability to assess candidates effectively.
Key Responsibilities:
- Conduct technical interviews for Data Engineer candidates
- Evaluate candidates on the following skills:
- SQL proficiency
- ETL processes
- Cloud data platforms (AWS, GCP, or Azure)
- Python
- Data modeling and data warehousing concepts
Required Skills & Qualifications:
5+ years of experience in Data Engineering or related fields.
Hands-on expertise in:
Data pipeline orchestration tools (Airflow, Luigi, etc.)
Distributed data processing (Spark, Flink, etc.)
Data lakes and warehouses (Redshift, BigQuery, Snowflake, etc.)
Experience working with large-scale datasets and real-time data processing.
Prior interviewing or mentoring experience is preferred.
Strong communication and analytical skills.
Preferred Qualifications:
Experience working with data governance, quality, and security practices.
Familiarity with streaming technologies (Kafka, Pub/Sub, Kinesis).
Knowledge of infrastructure-as-code tools (Terraform, CloudFormation).
Experience using platforms like HackerRank, Codility, or internal assessments.
What We Offer:
Flexible schedule and remote work setup.
Pay per interview or hourly rates.
Opportunities to shape the hiring process.
Collaborate with a growing and dynamic tech team.
Please provide a brief overview of your experience and approach to technical interviews.
Key Responsibilities:
- Conduct technical interviews for Data Engineer candidates
- Evaluate candidates on the following skills:
- SQL proficiency
- ETL processes
- Cloud data platforms (AWS, GCP, or Azure)
- Python
- Data modeling and data warehousing concepts
Required Skills & Qualifications:
5+ years of experience in Data Engineering or related fields.
Hands-on expertise in:
Data pipeline orchestration tools (Airflow, Luigi, etc.)
Distributed data processing (Spark, Flink, etc.)
Data lakes and warehouses (Redshift, BigQuery, Snowflake, etc.)
Experience working with large-scale datasets and real-time data processing.
Prior interviewing or mentoring experience is preferred.
Strong communication and analytical skills.
Preferred Qualifications:
Experience working with data governance, quality, and security practices.
Familiarity with streaming technologies (Kafka, Pub/Sub, Kinesis).
Knowledge of infrastructure-as-code tools (Terraform, CloudFormation).
Experience using platforms like HackerRank, Codility, or internal assessments.
What We Offer:
Flexible schedule and remote work setup.
Pay per interview or hourly rates.
Opportunities to shape the hiring process.
Collaborate with a growing and dynamic tech team.
Please provide a brief overview of your experience and approach to technical interviews.
Related categories:
SQL
Cloud Computing
Azure
Big Data Sales
Hadoop
Data Warehousing
SPSS Statistics
ETL