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Job Description
What role you will play in team: You'll be a crucial member of our team, designing and implementing large-scale data processing solutions to handle massive datasets.
What you will do: You'll build and maintain robust, scalable data pipelines using cutting-edge technologies, ensuring efficient data ingestion and processing.
Key responsibility:
- Design, develop, and maintain big data pipelines using tools like Spark, Hadoop, and Kafka.
- Optimize data processing performance and scalability.
- Develop data ingestion strategies from various sources.
- Implement data quality checks and monitoring systems.
- Collaborate with data scientists and engineers to meet project requirements.
- Troubleshoot and resolve data-related issues.
Required Qualification and Skills:
- Bachelor's degree in Computer Science or a related field.
- 2+ years of experience in big data engineering.
- Strong programming skills in Java, Scala, or Python.
- Experience with big data technologies (Hadoop, Spark, Kafka).
- Experience with cloud platforms (AWS, Azure, or GCP).
Benefits Included:
- Competitive salary and benefits.
- Opportunities for professional development and growth.
- Mentorship opportunities from senior engineers.
- Work-life balance focused environment.
A Day in the Life: A typical day would involve working on data pipeline optimization, code development, collaboration with other team members, and resolving data-related issues.
Skills
JavaScalaPythonHadoopSparkKafkaAWSAzureGCPBig DataIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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