Remote Position

Senior Data Engineer - DBT

🌍 Remote · United States 💼 Full-time

Role: Senior Data Engineer - DBT Location: NYC, NY (Remote) Duration: Long-Term Job Description: Must have below: 10+ Years Experience Great Communicator/Client Facing Individual Contributor 100% Hands on in the mentioned skills 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:
  • 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 Remote About the Company: Lorven Technologies Apply tot his job
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