Data Engineer

• 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.