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2 weeks 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 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
Bonus Points:
- AWS certification is a plus
- Proven track record of delivering high-quality results under tight deadlines
- Ability to work independently and collaboratively as part of a team
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