About this role
Our client is seeking a highly skilled Senior Data Engineer with extensive experience in building scalable, high-performance data pipelines and modern data architectures. This role is crucial for developing and maintaining data solutions that support business intelligence and analytics initiatives.
Key Responsibilities:
- Design, develop, and implement robust data pipelines to handle large volumes of data.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
- Optimize data architectures using tools like Databricks, DBT, and Apache Spark.
- Manage and maintain data quality and integrity using Collibra DQ.
- Ensure compliance with data governance policies and best practices.
- Monitor and troubleshoot data pipeline performance to ensure reliability and efficiency.
Required Skills & Qualifications:
- Strong proficiency in Python and SQL.
- Experience with data orchestration and ETL processes.
- Familiarity with Delta Tables / Delta Lake and data modeling.
- Knowledge of DAB and data governance frameworks.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to work effectively with cross-functional teams.
Experience:
- Minimum of 10 years of relevant experience in data engineering or related fields.
What we offer:
- An opportunity to work in a dynamic and innovative environment.
- The flexibility of a hybrid work model.
- Collaboration with a talented team of professionals in the data domain.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.