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

• 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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