Requirements:
- Minimum of 7 years of experience in data engineering or related roles, with at least 2 years in a leadership or senior technical position.
- Proven track record of designing and implementing large-scale big data solutions, including data pipelines, storage systems, and processing frameworks.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, etc., and proficiency in associated programming languages (e.g., Java, Scala, Python).
- Strong understanding of distributed computing principles and architectures, as well as experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Deep knowledge of data modeling, database design, and optimization techniques, including both relational and NoSQL databases.
- Excellent leadership, communication, and collaboration skills, with the ability to work effectively across teams and influence technical decisions.
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