At a Glance
- Tasks: Build and manage data pipelines and models for cutting-edge analytics.
- Company: Join Meeru AI, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative team environment with mentorship opportunities.
- Why this job: Make an impact on Fortune 500 clients with your data expertise.
- Qualifications: 7+ years in data engineering and strong SQL skills required.
The predicted salary is between 124200 - 151800 $ per year.
Drive the architecture of data systems at Meeru AI as a Senior Data Engineer.
This hands-on role focuses on building reliable data pipelines and integrated models across various platforms.
As a key player in Meeru AI's engineering team, you'll be charged with creating and managing crucial data subsystems, ensuring the integrity and performance of complex pipelines.
Your expertise in SQL, dbt, and orchestration tools will be pivotal in handling diverse data sources while meeting the high standards of Fortune 500 clients.
Key
Responsibilities
- Build and own end-to-end data pipelines and connectors
- Implement robust data modeling using SQL and dbt
- Design and manage Airflow or Dagster orchestration
- Optimize warehouse performance and troubleshoot queries
- Collaborate and mentor other engineers on data best practices
Requirements
- 7+ years in data engineering roles
- Proficiency with Snowflake, Big Query, or similar
- Experience with dbt projects in production
- Strong Python skills for pipeline development
- Ability to handle messy data sources and schemas
Utilize your expertise in data engineering and collaborative skills to elevate Meeru AI's financial analytics platform. #J-18808-Ljbffr
Senior Data Engineer in Winnipeg employer: Meeru AI Inc
Meeru AI Inc is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data engineering. Located in Canada, the company offers competitive benefits, opportunities for professional growth, and a chance to work on cutting-edge projects that directly impact analytics and AI. Employees are encouraged to take ownership of their work, ensuring a meaningful and rewarding experience in a supportive environment.
