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Fullstack-GL 26
Metafolks
posted 12d ago
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Job Description
- Develop and maintain scalable cloud-native data pipelines using AWS, Azure, or GCP.
- Utilize expertise in Spark, Scala, and PySpark to process and transform data.
- Manage and optimize databases such as SparkSQL and Postgres.
- Implement and maintain DataOps practices, including CI/CD, orchestration, testing, and monitoring, using tools like Jenkins and GitHub Actions.
- Collaborate with team members to deliver efficient and scalable data solutions.
- Stay updated on emerging technologies and best practices in data engineering.
- Bachelor s degree in Computer Science, Health Informatics, Information Technology, or a related field.
- 2+ years of experience with Spark, Scala, and PySpark.
- 2+ years of experience building cloud-native data pipelines on AWS, Azure, or GCP.
- 2+ years of experience managing databases like SparkSQL and Postgres.
- Strong understanding of DataOps (CI/CD, orchestration, testing, monitoring) using tools such as Jenkins and GitHub Actions.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Proactive in learning and applying new technologies.
Employment Type: Full Time, Permanent
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