
Senior Data Pipeline Architect
7 days ago
Seeking a seasoned Data Architect to lead the design and implementation of scalable data pipelines.
Key Responsibilities:- Develop and maintain robust ETL/ELT pipelines using Spark, PySpark, SQL, and Python
- Optimize large-scale data processing workflows for performance and reliability
- Collaborate with cross-functional teams on AWS services such as Glue, EMR, S3, Lambda, and Redshift
- Ensure data quality, governance, and security across all pipelines
- 6+ years of experience in data engineering
- Strong proficiency in Spark, PySpark, SQL, and Python
- Hands-on experience with AWS data services
- Solid understanding of distributed computing and data architecture
- Excellent problem-solving and communication skills
- Experience with CI/CD for data pipelines
- Familiarity with data lake and data warehouse architectures
Competitive salary and benefits package
How to Apply:Send updated resume and relevant experience details
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