Description
Role Overview
We are looking for a Senior Data Engineer who will play a key role in designing, building, and maintaining data ingestion frameworks and scalable data pipelines. The ideal candidate should have strong expertise in platform architecture, data modeling, and cloud-based data solutions to support real-time and batch processing needs.
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 performance.
What 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 (CloudFormation/Terraform).
- 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.
Nice to haves:
- Experience in hardware manufacturing data processing.
- Contributions to open-source data engineering tools.
- Knowledge of Tableau or other BI tools for data visualization.
- Understanding of front-end development (React, JavaScript, or similar) to collaborate effectively with UI teams or build internal tools for data visualization
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