Middle/Senior Data Engineer @ N-iX
1 month ago
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 4 years+ of experience in data engineering, with a focus on building and optimizing data pipelines using PySpark
- Strong experience with AWS services, including S3, Glue, Lambda, EMR, and Redshift
- Proficiency in Python programming and familiarity with related frameworks and libraries
- Solid understanding of distributed computing and experience with Apache Spark
- Hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus
- Strong analytical and problem-solving skills, with attention to detail and a proactive approach to troubleshooting
- Excellent communication and collaboration skills, with the ability to work in a dynamic, team-oriented environment
- Upper-Intermediate level of English
As a Data Engineer on our Development Team, you will design, develop, and optimize data pipelines within an AWS ecosystem for a US-based B2B marketplace company. Your expertise in PySpark will be instrumental in processing large-scale datasets, ensuring the reliability and performance of our data systems. You will collaborate with cross-functional teams, including data scientists and analysts, to deliver high-impact solutions that support business objectives.
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