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Posted:2 months ago| Platform: 
Work from Office
Full Time
Key Responsibilities: Design scalable data models and architectures for analytics and operations. Develop and optimize data pipelines using Spark, Hadoop, Nifi, and Hive. Manage and optimize SQL Server and MongoDB databases. Build and deploy OLAP cubes using SSAS. Ensure data security with cryptographic techniques. Collaborate with cross-functional teams and mentor junior engineers. Required Skills & Qualifications: 7-10 years of experience in data engineering. Expertise in Data Modeling, Spark, Hadoop Ecosystem, SQL Server, MongoDB, SSAS Cubes, and Cryptography. Strong problem-solving and communication skills.
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