
Data Solutions Engineer
1 week ago
About the Position
This role requires a skilled professional with expertise in designing and implementing end-to-end data architecture solutions utilizing Snowflake and Matillion for data ingestion, transformation, and storage.
The ideal candidate will have a strong background in data modeling, SQL, Python/Bash, and cloud platforms like AWS/Azure. Additionally, experience in collaborating with cross-functional teams to define requirements and create robust data pipelines is essential.
- Key Responsibilities:
- Design and implement scalable data architectures leveraging Snowflake and Matillion.
- Maintain data modeling standards, data flows, and architecture best practices.
- Evaluate and adopt tools in the modern data stack to ensure scalability and alignment with business goals.
- Collaborate with stakeholders to define requirements and create effective data pipelines.
- Ensure data security, access controls, and compliance with regulations such as GDPR, HIPAA, and SOC 2.
- Optimize Snowflake performance through clustering, caching, query tuning, and cost management.
- Oversee data integration from APIs, databases, flat files, and third-party platforms.
- Establish data quality and metadata management practices.
InfoBeans is a company that focuses on innovation, agility, and cutting-edge technology solutions. We prioritize growth opportunities and a people-first approach, making us one of the most trusted workplaces.
Requirements:
- 5+ years of experience in data engineering/architecture required.
- Strong background in data modeling, SQL, Python/Bash, and cloud platforms like AWS/Azure.
- Experience in collaborating with cross-functional teams to define requirements and create robust data pipelines.
- Ability to lead evaluation and adoption of tools in the modern data stack.
Benefits:
At InfoBeans, we offer a collaborative work environment, opportunities for growth and development, and a commitment to innovation and excellence.
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