Data Engineer - Data Build Tool

What you'll be doing :

• Design, develop, and optimise DBT models to support scalable data transformations
• Architect and implement modern ELT pipelines using DBT and orchestration tools like Apache Airflow and Prefect
• Lead performance tuning and query optimization for DBT models running on Snowflake, Redshift, or Databricks
• Integrate DBT workflows & pipelines with AWS services (S3, Lambda, Step Functions, RDS, Glue) and event-driven architectures
• Implement robust data ingestion processes from multiple sources, including manufacturing execution systems (MES), Manufacturing stations, and web applications
• Manage and monitor orchestration tools (Airflow, Prefect) for automated DBT model execution
• Implement CI / CD best practices for DBT, ensuring version control, automated testing, and deployment workflows
• Troubleshoot data pipeline issues and provide solutions for optimizing cost and you'll have :
• 5+ years of hands-on experience with DBT, including model design, testing, and performance tuning
• 5+ years of Strong SQL expertise with experience in analytical query optimization and database performance tuning
• 5+ years of programming experience, especially in building custom DBT macros, scripts, APIs, working with AWS services using boto3
• 3+ years of Experience with orchestration tools like Apache Airflow, Prefect for scheduling DBT jobs
• Hands-on experience in modern cloud data platforms like Snowflake, Redshift, Databricks, or Big Query
• Experience with AWS data services (S3, Lambda, Step Functions, RDS, SQS, CloudWatch)
• Familiarity with serverless architectures and infrastructure as code Ability to effectively communicate timelines and deliver MVPs set for the sprint
• Strong analytical and problem-solving skills, with the ability to work across cross-functional teams.

(ref : hirist.tech)