Data Engineer Snowflake Bigquery Redshift Full Time

This is a remote position.

• Collaborate with engineering teams to create REST APIbased pipelines for largescale MarTech systems optimizing for performance and reliability.
  
• Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines.
  
• Build scalable dbt models and configuration files leveraging best practices for efficient data transformation and analysis.
  
• Partner with lead data engineers in designing scalable data models.
  
• Conduct thorough debugging and root cause analysis for complex data pipeline issues implementing effective solutions and optimizations.
  
• Follow and adhere to groups standards such as SLAs code styles and deployment processes.
  
• Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changesAssist the team in monitoring pipeline health via observability tools and metrics.
  
• Participate in refactoring efforts as platform application needs evolve over time.

Requirements

• Bachelors degree or higher in Computer Science Engineering Mathematics or a related field.
  
• 3 years of professional experience with a cloud database such as Snowflake Bigquery Redshift.
  
• 1 years of professional experience with dbt (cloud or core).
  
• Exposure to various data processing technologies such as OLAP and OLTP and their applications in realworld scenarios.
  
• Exposure to work crossfunctionally with other teams such as Product Customer Success Platform Engineering.
  
• Familiarity with orchestration tools such as Dagster/Airflow.
  
• Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT.
  
• High intermediate to advanced SQL skills (comfort with CTEs window functions).
  
• Proficiency with Python and related libraries (e.g. pandas sqlalchemy psycopg2) for data manipulation analysis and automation.

Benefits

• Work Location: Remote
  
• 5 days working

3+ years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift. +1 years of professional experience with dbt (cloud or core). Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios. Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering. Familiarity with orchestration tools such as Dagster/Airflow. Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT. High intermediate to advanced SQL skills (comfort with CTEs, window functions). Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation.