Senior Data Engineer Data Foundations (Databricks, Snowflake, AWS) - 1606

Must Have:

• Databricks
  
• Snowflake
  
• Redshift
  
• AWS (S3, Glue, Lambda)
  
• Advanced SQL (performance tuning)
  
• Python
  
• Airflow or DBT
  

Responsibilities:

• Design and build scalable data pipelines for large datasets
  
• Develop batch and real -time data processing solutions
  
• Work with Databricks, Snowflake, and Redshift for data platforms
  
• Optimize SQL queries and improve data performance
  
• Build and maintain workflows using Airflow or DBT
  
• Ensure data quality, reliability, and governance
  
• Partner with data scientists to deploy ML models
  
• Collaborate with teams to translate business needs into data solutions
  

Qualifications:

• 7+ years of data engineering experience
  
• Strong experience with AWS data services
  
• Hands -on coding in Python and SQL
  
• Experience with distributed data systems and big data tools
  
• Experience building enterprise -scale data platforms
  

Nice to Have:

• Monte Carlo (data observability)
  
• Atlan (data catalog)
  
• CI/CD (GitHub Actions or Jenkins)
  
• Experience with ML or statistical modeling