
Chief Data Pipeline Architect
6 days ago
We seek experts in building scalable data pipelines using Spark, PySpark, SQL, and Python.
- Design and develop robust ETL/ELT pipelines on AWS utilizing Spark and PySpark
- Ongoing optimization of large-scale data processing workflows for performance and reliability
- Collaboration with AWS services such as Glue, EMR, S3, Lambda, and Redshift
- Ensuring high-quality data across all pipelines through effective data governance and security
Innovative solutions require a strong background in data engineering.
Key Requirements:- 6+ years of experience in data engineering
- Strong proficiency in Spark, PySpark, SQL, and Python programming languages
- Hands-on experience with AWS data services
- Solid understanding of distributed computing and data architecture
- Excellent problem-solving and communication skills
- Experience with continuous integration and delivery for data pipelines
- Familiarity with data lake and warehouse architectures
- Data engineering expertise
- AWS data services
- Spark and PySpark
- SQL and Python
Apply if you have a passion for innovative data engineering solutions and a strong background in the field.
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