Overview:
We’re seeking a Data Engineer with expertise in building robust, scalable cloud-based data pipelines. You’ll play a key role in transforming raw data into meaningful insights across the organization.
Responsibilities:
- Design and implement cloud-native data pipelines using Spark, Kafka, and cloud services
- Build ETL workflows to ingest and process structured and unstructured data
- Work closely with Data Scientists and Analysts to enable self-serve analytics
- Optimize performance, reliability, and scalability of big data platforms
Requirements:
- BS/MS in Computer Science, Engineering, or a related field
- 3+ years of experience with Python, SQL, and distributed systems
- Hands-on experience with AWS (Glue, Redshift, S3), GCP, or Azure
- Proficiency in Apache Spark, Airflow, and Kafka
- Experience with data modeling, data warehousing, and pipeline orchestration
Job Category: Data Engineer
Job Type: Full Time
Job Location: San Francisco
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Responsibilities:
- Design and implement cloud-native data pipelines using Spark, Kafka, and cloud services
- Build ETL workflows to ingest and process structured and unstructured data
- Work closely with Data Scientists and Analysts to enable self-serve analytics
- Optimize performance, reliability, and scalability of big data platforms
Requirements:
- BS/MS in Computer Science, Engineering, or a related field
- 3+ years of experience with Python, SQL, and distributed systems
- Hands-on experience with AWS (Glue, Redshift, S3), GCP, or Azure
- Proficiency in Apache Spark, Airflow, and Kafka
- Experience with data modeling, data warehousing, and pipeline orchestration
Job Category: Data Engineer
Job Type: Full Time
Job Location: San Francisco
Responsibilities:
- Design and implement cloud-native data pipelines using Spark, Kafka, and cloud services
- Build ETL workflows to ingest and process structured and unstructured data
- Work closely with Data Scientists and Analysts to enable self-serve analytics
- Optimize performance, reliability, and scalability of big data platforms
Requirements:
- BS/MS in Computer Science, Engineering, or a related field
- 3+ years of experience with Python, SQL, and distributed systems
- Hands-on experience with AWS (Glue, Redshift, S3), GCP, or Azure
- Proficiency in Apache Spark, Airflow, and Kafka
- Experience with data modeling, data warehousing, and pipeline orchestration