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KMM Technologies, Inc. seeks a seasoned big data engineer to design and optimize petabyte-scale data pipelines in a modern cloud environment.
Requirements include 5+ years hands-on Big Data experience with Hadoop, Spark, Hive, Trino, SQL, Python/Scala, and strong AWS (S3, EC2, EMR/SMR). AI development tools and financial services domain are highly preferred.
Seeking 5+ years of hands‑on Big Data experience with Hadoop, Spark, Hive, Trino, SQL, Python/Scala, and petabyte‑scale data processing.
Strong AWS experience with S3, EC2, EMR/SMR, plus Spark performance tuning, data skew, partitioning, resource optimization, and production pipeline troubleshooting.
AI development tools experience (GitHub Copilot, Amazon Q, ChatGPT, Claude) and Financial Services experience are highly preferred.