Data Engineer Leader for Scalable Data Infrastructure
hace 4 días
About the Role:
We are seeking an experienced Data Engineer to lead the development and maintenance of our scalable data infrastructure.
The ideal candidate will have a strong background in designing, building, and optimizing ETL pipelines using Apache Spark on Amazon EMR.
You will work closely with data scientists, analysts, and other engineering teams to define, implement, and maintain high-performance data infrastructure.
Your expertise in developing and maintaining automated data workflows and processes will be crucial in ensuring efficient data ingestion, transformation, and loading.
We are looking for someone who can implement best practices for data engineering, including monitoring, logging, and alerting for data pipelines.
You will collaborate with stakeholders to understand business requirements and translate them into technical solutions.
In this role, you will optimize performance of data processing jobs and troubleshoot issues with large-scale distributed systems.
Drive innovation in data infrastructure by evaluating and integrating new tools, frameworks, and approaches.
About You:- 5+ years of experience in data engineering, with at least 3+ years working with Apache Spark and Amazon EMR.
- Strong programming skills in Python and Scala with a focus on performance tuning and optimization for Spark jobs.
- Deep understanding of distributed computing concepts, data partitioning, and resource management in large-scale data processing systems.
- Proficiency in building and maintaining ETL pipelines for structured and unstructured data.
- Hands-on experience with AWS services such as S3, Lambda, EMR, Glue, and RDS.
- Strong problem-solving skills and ability to debug complex systems.
- A competitive salary range of $160,000 - $220,000 per year.
- Opportunities for career growth and professional development.
- A collaborative and dynamic work environment.
- A comprehensive benefits package, including medical, dental, and vision insurance.
- Generous paid time off and holidays.
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