
AWS Cloud Data Pipeline Architect
10 hours ago
We are seeking a highly skilled Senior AWS Data Engineer to join our data engineering team. The ideal candidate will have deep expertise in building scalable data pipelines using Apache Spark, PySpark, SQL, and Python, along with hands-on experience in the AWS ecosystem.
Key Responsibilities:
- Design, develop, and maintain robust ETL/ELT pipelines on AWS using Spark and PySpark
- Optimize large-scale data processing workflows for performance and reliability
- Work with AWS services such as Glue, EMR, S3, Lambda, and Redshift
- Ensure data quality, governance, and security across all pipelines
Required Skills and Qualifications:
- 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
Benefits:
This is an excellent opportunity for experienced data engineers to take their careers to the next level while working with cutting-edge technology and innovative solutions.
Others:
Please let us know if you have any questions or need further clarification about this role.
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