
Unlock Your Potential as a Master Data Architect
4 days ago
We are seeking an experienced Data Engineer to join our team.
This is a critical role that involves ensuring smooth data migrations, maintaining high-quality data, and enabling scalable operations across multiple workloads.
The successful candidate will have strong knowledge of data engineering principles, experience with ETL development, and proficiency in scripting languages such as Python.
In this role, you will design and implement efficient data pipelines using tools like PySpark, DBT, and related technologies. You will also be responsible for building and optimizing API-based integrations, ensuring data quality and consistency across pipelines, and contributing to the prioritization and delivery of data-related projects.
To succeed in this role, you should have 3-6 years of experience in data engineering or ETL development, with a proven track record in migration work. You should also have strong knowledge of Snowflake, proficiency in Python, and experience with PySpark, DBT, and API-driven data integrations.
Familiarity with AWS/cloud-hosted data solutions and observability is a plus. If you are passionate about data engineering and have a solid understanding of data systems, we encourage you to apply.
The ideal candidate will have a strong ability to balance technical problem-solving with broader data engineering concepts. They will be comfortable working in time-sensitive environments and be able to prioritize tasks effectively.
Required Skills & Experience:- 3-6 years of experience in data engineering or ETL development
- Strong knowledge of Snowflake
- Proficiency in Python
- Experience with PySpark, DBT, and API-driven data integrations
- Familiarity with AWS/cloud-hosted data solutions and observability
- Prior experience with large-scale plugin migrations
- Familiarity with Fivetran, Nexla, or similar aggregation platforms
- Ability to balance technical problem-solving with broader data engineering concepts
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