● Bachelor's degree in Computer Science, Engineering, Information Technology, or a
related quantitative field.
● 3+ years of professional experience in data engineering or a similar role, with a strong
focus on building and maintaining data pipelines.
● Proficiency in at least one programming language commonly used in data engineering
(e.g., Python, Java, Scala). Python is highly preferred.
● Strong experience with analytical engines like Apache Pinot and Elasticsearch..
● Hands-on experience with ETL/ELT tools and concepts.
● Proven experience with Google Cloud Platform (GCP) data services, specifically
BigQuery.
○ Competency in loading data into BigQuery using various methods (e.g., batch
loading from Cloud Storage, streaming inserts).
○ Strong SQL querying skills within BigQuery, including understanding of
BigQuery's unique SQL dialect and functions.
○ Familiarity with BigQuery table optimizations like partitioning and clustering.
○ Experience with BigQuery's data quality features or applying data quality best
practices to BigQuery data.

● Familiarity with data warehousing concepts and experience with data lake architectures.
● Understanding of data quality principles and experience implementing data validation
techniques.
● Experience with version control systems (e.g., Git).
● Excellent problem-solving skills and attention to detail.
● Strong communication and interpersonal skills, with the ability to explain complex
technical concepts to non-technical stakeholders.