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