Senior Data Engineer - DBT - NYC, NY (Remote)
Job title: Senior Data Engineer - DBT - NYC, NY (Remote) in USA at Lorven Technologies
Company: Lorven Technologies
Job description: Role: Senior Data Engineer - DBTLocation: NYC, NY (Remote)Duration: Long-TermJob Description:Must have below:10+ Years ExperienceGreat Communicator/Client FacingIndividual Contributor100% Hands on in the mentioned skillsDBT Proficiency: model development:Experience in creating complex DBT models including incremental models, snapshots and documentation. Ability to write and maintain DBT macros for reusable codeTesting and documentation:Proficiency in implementing DBT tests for data validation and quality checksFamiliarity with generating and maintaining documentation using DBT's built in featuresVersion control:Experience in managing DBT projects using git, including implementing CI/CD process from the scratch
AWS Expertise:
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
Data Integration:
Familiarity with Aws glue for ETL processes and orchestration -Nice to have
Experience with AWS lambda for serverless data processing tasks
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
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
Monitoring and Logging:
Familiarity with AWS cloud watch for monitoring the pipelines and setting up alerts for workflow failures
Cloud Security:
Knowledge of AWS security best practices ,including IAM roles, encryption, DBT profiles access configurations
Programming Skills:
Python:
Proficiency in Pandas and NumPy for data analysis and manipulation
Ability to write scripts for automating ETL processes and scheduling jobs using airflow
Experience in creating custom DBT macros using jinja and Python allowing for reusable components within dbt models
Knowledge on how to implement conditional logic in DBT through python
SQL:
Advanced SQL skills, including complex joins ,window functions, CTE's and subqueries
Experience in optimizing SQL queries for performance and optimization
Expected salary:
Location: USA
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Company: Lorven Technologies
Job description: Role: Senior Data Engineer - DBTLocation: NYC, NY (Remote)Duration: Long-TermJob Description:Must have below:10+ Years ExperienceGreat Communicator/Client FacingIndividual Contributor100% Hands on in the mentioned skillsDBT Proficiency: model development:Experience in creating complex DBT models including incremental models, snapshots and documentation. Ability to write and maintain DBT macros for reusable codeTesting and documentation:Proficiency in implementing DBT tests for data validation and quality checksFamiliarity with generating and maintaining documentation using DBT's built in featuresVersion control:Experience in managing DBT projects using git, including implementing CI/CD process from the scratch
AWS Expertise:
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
Data Integration:
Familiarity with Aws glue for ETL processes and orchestration -Nice to have
Experience with AWS lambda for serverless data processing tasks
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
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
Monitoring and Logging:
Familiarity with AWS cloud watch for monitoring the pipelines and setting up alerts for workflow failures
Cloud Security:
Knowledge of AWS security best practices ,including IAM roles, encryption, DBT profiles access configurations
Programming Skills:
Python:
Proficiency in Pandas and NumPy for data analysis and manipulation
Ability to write scripts for automating ETL processes and scheduling jobs using airflow
Experience in creating custom DBT macros using jinja and Python allowing for reusable components within dbt models
Knowledge on how to implement conditional logic in DBT through python
SQL:
Advanced SQL skills, including complex joins ,window functions, CTE's and subqueries
Experience in optimizing SQL queries for performance and optimization
Expected salary:
Location: USA
Apply for the job now!
Apply Now