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1 day ago
As a Senior Data Engineer, you will lead the development and implementation of large-scale data engineering solutions.
Job DescriptionYou will be responsible for designing, building, and maintaining scalable ETL/ELT data pipelines for structured and unstructured data. Your expertise in Apache Spark and distributed data processing will enable you to optimize data workflows for performance, cost, and quality.
In addition, you will implement and manage CI/CD pipelines for data applications, establish monitoring, alerting, and data quality checks, and collaborate with cross-functional teams to drive business outcomes.
Requirements- 4+ years of experience in data engineering, building and managing large-scale data infrastructure
- Proficient in Apache Spark and distributed data processing
- Strong programming skills in Python and/or Scala
- Advanced SQL skills and experience with data modeling
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
- Monitoring and logging tools (e.g., Prometheus, Grafana, Datadog)
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
About UsWe are a global technology and consulting leader with offices across the US. Our organization operates through key business units: People Tech Technologies, People Media, and People Infra. With 20+ global data centers, we deliver secure, high-performance, and scalable technology solutions to top-tier clients.
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