Lead Data Engineer – (Snowflake+ DBT+ Airflow)

Bachelor’s or Master’s degree in Computer Science, Information
Technology, Data Engineering, or a related field.
 7–10 years of experience in data engineering, with strong hands-on
expertise in:
o Snowflake (data modelling, performance tuning, access control,
streams & tasks, external tables)
o Apache Airflow (DAG design, task dependencies, dynamic
tasks, error handling)
o dbt (modular SQL development, Jinja templating, testing,
documentation)

 Proficiency in SQL and Python (Spark experience is a plus).
 Experience building and managing pipelines on AWS, GCP, or Azure.
 Strong understanding of data warehousing concepts and ELT best
practices.
 Familiarity with version control (Git) and CI/CD workflows.
 Exposure to infrastructure-as-code tools like Terraform for
provisioning Snowflake or Airflow environments.
 Excellent problem-solving, collaboration, and communication skills,
with the ability to lead technical projects.