Description
Design and implement full-scale data warehouse solutions from the ground up.
Responsibilities
- Architect scalable data warehouse solutions for complex requirements.
- Develop and maintain high-performance data processing pipelines using Spark and Scala.
- Resolve ambiguous technical challenges through rigorous problem-solving.
- Communicate technical designs, trade-offs, and progress clearly to stakeholders.
Required Skills
- 10+ years of experience designing and implementing full-scale data warehouse solutions.
- 6+ years of hands-on development experience using Spark and Scala.
- Proficiency with PySpark and Python for data manipulation and processing.
- Experience with Big Data databases, specifically HBase.
- Strong architectural design and complex problem-solving capabilities.
- Bachelor's degree in Computer Science or related field.
- Effective oral and written communication skills.
Preferred Skills
- Experience with AWS cloud services.
- Knowledge of Airflow and Hive.