About this role
Our client is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable, cloud-based data platforms for enterprise applications. The ideal candidate will have extensive experience with Snowflake, Databricks, dbt, Apache Spark, and Python, along with expertise in building modern Lakehouse architectures, optimizing data pipelines, and delivering high-quality data solutions.
Key Responsibilities:
- Design and implement scalable data architectures using Snowflake and other cloud technologies.
- Develop and optimize data pipelines to ensure high performance and reliability.
- Collaborate with cross-functional teams to gather requirements and deliver effective data solutions.
- Utilize Databricks and Apache Spark for data processing and transformation tasks.
- Implement best practices for data governance and security.
- Monitor and troubleshoot data workflows to ensure seamless operations.
Required Skills & Qualifications:
- Strong experience with Snowflake and cloud-based data solutions.
- Proficiency in Python and SQL for data manipulation and analysis.
- Experience with dbt and data modeling techniques.
- Familiarity with Apache Spark for big data processing.
- Knowledge of Lakehouse architecture and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
Experience:
- 4 to 8 years of relevant experience in data engineering or a similar role.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- The flexibility of remote work.
- Collaborative team culture focused on innovation and excellence.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.