Design, develop, and optimize DBT models for scalable, maintainable data Architect and implement modern ELT pipelines leveraging DBT and orchestration tools such as Apache Airflow or Prefect.
Lead query optimization and performance tuning for DBT models on Snowflake, Redshift, or Databricks.
Integrate DBT workflows and pipelines with AWS services (S3, Lambda, Step Functions, RDS, Glue) and event-driven architectures.
Build robust ingestion processes from diverse sources, including Manufacturing Execution Systems (MES), manufacturing stations, and web applications.
Manage and monitor orchestration tools to ensure automated, reliable execution of DBT models.
Implement CI / CD best practices for DBT, including version control, automated testing, and streamlined deployment workflows.
Troubleshoot and resolve pipeline issues while optimizing for cost and Skill :
5+ years of hands-on DBT experience, including model design, testing, and optimization.
8+ years of strong SQL experience, with proven skills in query optimization and database performance tuning.
5+ years of programming experience, including custom DBT macros, scripting, APIs, and AWS integrations using boto3.
3+ years of experience with orchestration tools like Apache Airflow or Prefect.
Proven experience with cloud data platforms (Snowflake, Redshift, Databricks, or BigQuery).
Hands-on knowledge of AWS data services (S3, Lambda, Step Functions, RDS, SQS, CloudWatch).
Familiarity with serverless architectures and infrastructure as code (CloudFormation, Terraform).
Strong communication skills with the ability to deliver MVPs aligned with sprint timelines.
Excellent analytical and problem-solving abilities, with a track record of cross-functional collaboration.