Senior Data Architect
4 weeks ago
Job Description :
We are looking for a highly skilled Data Architect with extensive experience in designing and implementing robust data processing pipelines using Kafka, PySpark, Python/Scala, and Spark.
Key Responsibilities:
Main Responsibilities :
- Design, develop, and maintain scalable data processing pipelines using Kafka, PySpark, Python/Scala, and Spark.
- Work extensively with the Kafka and Hadoop ecosystem, including HDFS, Hive, and other related technologies.
- Write efficient SQL queries for data extraction, transformation, and analysis.
- Implement and manage Kafka streams for real-time data processing.
- Utilize scheduling tools to automate data workflows and processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Ensure data quality and integrity by implementing robust data validation processes.
- Optimize existing data processes for performance and scalability.
Requirements :
- Over 5 years of experience in big data technologies and data engineering.
- Hands-on expertise in Kafka, PySpark, Python/Scala, Spark, SQL, and the Hadoop ecosystem.
Preferred Qualifications :
- Experience with GCP
Knowledge of data warehousing concepts and best practices.
- Familiarity with machine learning and data analysis tools.
- Understanding of data governance and compliance standards.
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