About this role
Our client is seeking an experienced Sr 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 data models and data pipelines that support business intelligence and analytics.
- Develop and maintain ETL processes using Snowflake and Databricks.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Optimize data workflows and performance for large-scale data processing.
- Ensure data quality and integrity through effective monitoring and testing.
- Stay updated with industry trends and best practices in data engineering.
Required Skills & Qualifications:
- Strong experience with Snowflake and Databricks.
- Proficiency in Python and SQL for data manipulation and analysis.
- Experience with Apache Spark and dbt for data transformation.
- Knowledge of cloud platforms and data lake architectures.
- Excellent problem-solving skills and attention to detail.
Experience:
- 4-8 years of relevant experience in data engineering or a related field.
What we offer:
- An opportunity to work remotely with a dynamic team.
- The chance to contribute to innovative data solutions in a fast-paced environment.
- Professional development and growth opportunities.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.