
201 - 500 employees
Founded 2020
🤖 Artificial Intelligence
💳 Fintech
Artificial Intelligence • Data Strategy • Fintech
Koantek is a data intelligence company that specializes in maximizing data value through innovative solutions built on the Databricks platform. They offer tailored services such as data migration, advanced analytics, and cloud infrastructure modernization to help organizations unlock actionable insights and drive strategic growth. As a recognized Databricks partner, Koantek collaborates with businesses to develop customized data strategies that align with their unique objectives, enhancing decision-making and operational efficiency.
🕒 October 30, 2025
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201 - 500 employees
Founded 2020
🤖 Artificial Intelligence
💳 Fintech
Artificial Intelligence • Data Strategy • Fintech
Koantek is a data intelligence company that specializes in maximizing data value through innovative solutions built on the Databricks platform. They offer tailored services such as data migration, advanced analytics, and cloud infrastructure modernization to help organizations unlock actionable insights and drive strategic growth. As a recognized Databricks partner, Koantek collaborates with businesses to develop customized data strategies that align with their unique objectives, enhancing decision-making and operational efficiency.
• Design and build robust data pipelines • Integrate structured and unstructured data from various sources • Develop tools for data processing and analysis • Manage data infrastructure and optimize workflows
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience) • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP) • Expert-level proficiency in Spark Scala, Python, and PySpark • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling • Hands-on experience with data management technologies and tools, such as Kafka, StreamSets, and MapReduce
• Health insurance • Flexible work arrangements • Professional development • Paid time off
Apply Now🕒 September 12, 2025
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201 - 500
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
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