Senior Data Engineer – DBT
Title: Senior Data Engineer – DBT
Location: NYC, NY Remote
Job Type: Contract to Hire
Responsibilities:
Skills must have
DBT
Python
SQL
AWS
10+ Years’ Experience
DBT Proficiency: model development:
Experience in creating complex DBT models including incremental models, snapshots and documentation. Ability to write and maintain DBT macros for reusable code
Testing and documentation:
Proficiency in implementing DBT tests for data validation and quality checks
Familiarity with generating and maintaining documentation using DBT's built in features
Version control:
Experience in managing DBT projects using git ,including implementing CI/CD process from the scratch
• AWS Expertise:
o Data STORAGE solutions:
In depth understanding of AWS S3 for data storage, including best practices for organization and security
Experience with AWS redshift for data warehousing and performance optimization
o Data Integration:
Familiarity with Aws glue for ETL processes and orchestration -Nice to have
Experience with AWS lambda for serverless data processing tasks
o Workflow Orchestration:
Proficiency in using Apache Airflow on AWS to design ,schedule and monitor complex data flows
Ability to integrate Airflow with AWS services and DBT models such as triggering a DBT model or EMR or reading from s3 writing to redshift
o Data Lakes and Data warehousing:
Understanding the architecture of data lakes vs data warehouses and when to use each
Experience with amazon Athena for querying data directly in s3 using SQL
o Monitoring and Logging:
Familiarity with AWS cloud watch for monitoring the pipelines and setting up alerts for workflow failures
o Cloud Security:
Knowledge of AWS security best practices ,including IAM roles, encryption, DBT profiles access configurations
Programming Skills:
• Python:
o Proficiency in Pandas and NumPy for data analysis and manipulation
o Ability to write scripts for automating ETL processes and scheduling jobs using airflow
o Experience in creating custom DBT macros using jinja and Python allowing for reusable components within dbt models
o Knowledge on how to implement conditional logic in DBT through python
• SQL:
o Advanced SQL skills, including complex joins ,window functions, CTE’s and subqueries
Experience in optimizing SQL queries for performance and optimization
Title: Senior Data Engineer – DBT
Location: NYC, NY Remote
Job Type: Contract to Hire
Responsibilities:
Skills must have
DBT
Python
SQL
AWS
10+ Years’ Experience
DBT Proficiency: model development:
Experience in creating complex DBT models including incremental models, snapshots and documentation. Ability to write and maintain DBT macros for reusable code
Testing and documentation:
Proficiency in implementing DBT tests for data validation and quality checks
Familiarity with generating and maintaining documentation using DBT's built in features
Version control:
Experience in managing DBT projects using git ,including implementing CI/CD process from the scratch
• AWS Expertise:
o Data STORAGE solutions:
In depth understanding of AWS S3 for data storage, including best practices for organization and security
Experience with AWS redshift for data warehousing and performance optimization
o Data Integration:
Familiarity with Aws glue for ETL processes and orchestration -Nice to have
Experience with AWS lambda for serverless data processing tasks
o Workflow Orchestration:
Proficiency in using Apache Airflow on AWS to design ,schedule and monitor complex data flows
Ability to integrate Airflow with AWS services and DBT models such as triggering a DBT model or EMR or reading from s3 writing to redshift
o Data Lakes and Data warehousing:
Understanding the architecture of data lakes vs data warehouses and when to use each
Experience with amazon Athena for querying data directly in s3 using SQL
o Monitoring and Logging:
Familiarity with AWS cloud watch for monitoring the pipelines and setting up alerts for workflow failures
o Cloud Security:
Knowledge of AWS security best practices ,including IAM roles, encryption, DBT profiles access configurations
Programming Skills:
• Python:
o Proficiency in Pandas and NumPy for data analysis and manipulation
o Ability to write scripts for automating ETL processes and scheduling jobs using airflow
o Experience in creating custom DBT macros using jinja and Python allowing for reusable components within dbt models
o Knowledge on how to implement conditional logic in DBT through python
• SQL:
o Advanced SQL skills, including complex joins ,window functions, CTE’s and subqueries
Experience in optimizing SQL queries for performance and optimization
