| DBT Developer - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Lisa, HAN STAFFING [email protected] Reply to: [email protected] Client looking for Senior/ Lead DBT Developer. Good AWS experience. Senior DBT developer: Technical 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, CTEs and subqueries Experience in optimizing SQL queries for performance and optimization Keywords: continuous integration continuous deployment sthree DBT Developer - Remote [email protected] |
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| Fri Nov 08 04:51:00 UTC 2024 |