Senior Data Engineer

You will design and architect scalable data solutions to support business intelligence and analytics.

Responsibilities

• Design scalable data models and architectures for both analytics and operational systems.
• 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 and integrity through cryptographic techniques.
• Mentor junior engineers and collaborate with cross-functional teams to maintain data flow.

Required Skills

• 7-10 years of experience in data engineering and architecture.
• Expertise in Data Modeling and the Hadoop Ecosystem.
• Hands-on experience with Spark, Hadoop, NiFi, and Hive.
• Proficiency in managing SQL Server and MongoDB databases.
• 3-4 years of experience building and deploying OLAP cubes using SSAS.
• 3-4 years of experience implementing data security and cryptography techniques.
• Proven ability to work with large-scale data infrastructure and large datasets.
• Any Graduate degree.