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- Architect and manage robust big data pipelines using the Hadoop ecosystem (HDFS, Hive, Pig, HBase, Sqoop, Flume, etc.)
- Develop and optimize solutions using Spark, MapReduce, and NoSQL databases like Cassandra and HBase.
- Write clean, scalable code in Java, Python, Scala, or R — bonus points if you're comfortable in Linux environments.
- Own end-to-end data engineering deliverables and lead the charge on performance, scalability, and reliability.
- Collaborate with cross-functional teams to solve complex data and system integration challenges.
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