
Big Data Specialist
1 day ago
Job Title:
Big Data Architect
- Design, build, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and processing large datasets using frameworks like Hadoop and Spark.
- Optimize and troubleshoot big data clusters for performance, reliability, and scalability.
- Develop and maintain data workflows using tools such as Apache Airflow, and integrate machine learning models into production pipelines.
- Manage distributed storage systems (e.g., HDFS) and ensure proper data retention and replication policies.
- Collaborate with cross-functional teams to implement best practices for scalable data infrastructure and stay updated with the latest big data technologies.
- Monitor data pipeline health, proactively resolve issues, and maintain up-to-date documentation on data systems and architecture.
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred).
- 6+ years of experience in data engineering or big data infrastructure.
- Proficiency with big data frameworks (e.g., Hadoop, Apache Spark) and Python for distributed data processing.
- Advanced knowledge of SQL and experience with cloud platforms (AWS, GCP, Azure) for big data solutions.
- Strong understanding of data architecture principles and experience with CI/CD pipelines.
- Excellent problem-solving skills and ability to work with large-scale data systems.
- Strong communication and collaboration skills.
What We Offer:
- A competitive compensation package.
- Health and life insurance program.
- Meal and commuting allowance.
- Well-being activities.
- Continuous learning opportunities.
- A personalized development plan for targeted career growth.
We are an equal opportunities employer. We welcome applications from all qualified candidates.
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