Description

You will build and maintain data pipelines as a Senior Data Engineer.

Responsibilities

• Develop data pipelines using modern ETL/ELT practices.
• Optimize complex SQL queries and tune database performance.
• Implement data orchestration workflows using tools like Airflow.
• Design and maintain data models following warehousing concepts.

Required Skills

• 9 to 18 years of experience in data engineering or analytics engineering.
• 4.5+ years of hands-on experience with dbt (dbt Cloud and dbt Core).
• Expert proficiency in dbt development, including macros and testing.
• Advanced SQL skills with focus on query optimization.
• 2+ years experience with GCP data services: BigQuery, Cloud Storage, Dataflow, and Cloud Composer.
• Proficiency in Python for data pipeline automation.
• Extensive background in ETL/ELT using Spark, Scala, PySpark, or Databricks.
• Experience with data orchestration tools like Airflow.

Key Skills

Education

Any Gradute