Data Engineer (6–8 Years) - LA

Required Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
  

• 5+ years of professional experience as a Data Engineer or in a related role. 
  

• Proficiency in Python for data processing and pipeline development. 
  

• Strong knowledge of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, or Snowflake). 
  

• Hands-on experience with data pipeline tools and frameworks (e.g., Apache Spark, Kafka, or Flink). 
  

• Familiarity with cloud data solutions such as AWS S3, Redshift, Google BigQuery, or Azure Data Lake. 
  

• Experience with CI/CD tools and version control systems like Git. 
  

• Strong problem-solving skills and attention to detail. 
  

• Excellent communication and collaboration skills. 
  

Preferred Qualifications 

• Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). 
  

• Experience with containerization technologies (Docker, Kubernetes). 
  

• Knowledge of big data processing tools and frameworks (e.g., Hadoop). 
  

• Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). 
  

• Familiarity with data visualization tools and BI platforms (e.g., Tableau, Power BI)