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Job Summary
• Bachelor's degree or above in Computer Science, Information Technology, or a related field.
• Solid understanding of big data ecosystems, including Hadoop, Spark, and related components.
• Familiarity with data lake architectures and technology stacks.
• Proficient in SQL and Python, with hands-on experience in ETL development and performance tuning.
• Good knowledge of Linux systems, distributed storage technologies (HDFS, S3), and container platforms (Docker, Kubernetes).
• Strong problem-solving skills, sense of ownership, and ability to work effectively in a team-oriented environment. Fluent in both Chinese and English as working languages.to the application.
Preferred Qualifications
• Experience supporting large-scale data platforms in production environments.
• Exposure to data governance, metadata management, and access control frameworks.
• Experience with resource scheduling and performance optimization in distributed systems.
Job ID: 148348915
Skills:
BigQuery, Data Quality, Google Cloud Platform, Data Governance, Google Analytics, Python, Sql, data lakes, data pipelines, API integrations
Skills:
Git, Ec2, Linux, Redshift, Python, Sql, Aws S3, Airflow, AI development tools, dbt, Glue
Skills:
kimball methodology , S3, Pyspark, Performance Tuning, Redshift, Sql, ELT, Lambda, Spark, Databricks, Python, Etl, AI tools, Indexing, data warehouse modeling, AWS data services, Glue, data partitioning
Skills:
Hadoop, Spark, Python, Flink
Skills:
Hadoop, Spark, Python, Flink
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