
Data Architect Specialist
7 days ago
We are seeking an experienced Senior Data Developer to join our team. This is a key role in designing and implementing scalable data pipelines that support the growth of our business.
Key Responsibilities:
- Design, develop and maintain complex data pipelines using Hadoop, Spark and Python.
- Collaborate with analytics and business teams to identify opportunities for improving data models and increase data accessibility.
- Implement data quality processes to ensure accurate and available production data.
- Write unit tests, contribute to engineering documentation and document work.
- Analyze data to troubleshoot issues and assist in resolving data problems.
- Work closely with frontend and backend engineers, product managers and analysts to design data integrations and data quality frameworks.
- Define company data assets, spark, sparkSQL and hiveSQL jobs to populate data models.
Requirements:
- Familiarity with Big Data technologies including Hadoop, Spark, and NoSQL databases.
- Experience with Python programming language and knowledge of data processing frameworks such as Pyspark.
- Excellent understanding of data modeling, data warehousing and ETL processes.
- Strong problem-solving skills and ability to work under pressure.
- Collaborative team player with excellent communication skills.
Bonus Points:
- Knowledge of GCP/any cloud architecture.
- Experience with data visualization tools.
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