
Chief Data Architect
1 day ago
Job Overview:
">As a Data Engineer, you will play a pivotal role in designing and implementing data integrations and quality frameworks that drive business growth.
">Responsibilities:
">- ">
- Develop and maintain scalable data pipelines to support increasing data volume and complexity.">
- Collaborate with analytics and business teams to improve data models for business intelligence tools.">
- Implement processes to monitor data quality, ensuring production data is accurate and available.">
- Write unit/integration tests, contribute to engineering wiki, and document work.">
- Perform data analysis to troubleshoot data-related issues and assist in resolution.">
- Work closely with frontend and backend engineers, product managers, and analysts.">
- Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs.">
Requirements:
">- ">
- Big Data">
- Pyspark">
- Python">
- Hadoop/HDFS">
- Spark">
- GCP/Cloud">
- Strong analytical skills">
- Excellent communication skills">
Benefits:
">This role offers the opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and make a meaningful impact on business outcomes.
">What You'll Need:
">- ">
- Advanced degree in Computer Science or related field">
- 3+ years of experience in data engineering">
- Proficiency in Big Data technologies">
- Strong problem-solving skills">
- Excellent collaboration skills">
Summary: As a Data Engineer at our organization, you will be responsible for developing and maintaining scalable data pipelines, collaborating with cross-functional teams, and implementing data quality processes.
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