
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.
🕒 May 5
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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.
• Lead short-to-mid-term professional services projects • Write production-quality code (Python, Scala) • Design reference architectures and assist customers with production-level deployments, CI/CD pipelines, and MLOps • Guide customers through "Build vs. Buy" decisions • Resolve high-level technical escalations and unblock customers • Work closely with Product Engineering to provide real-world feedback
• 8+ years in Data Engineering, Analytics, or Platform roles • Deep expertise in Apache Spark internals and distributed processing • Advanced proficiency in Python or Scala • Deep experience in at least one major cloud provider (AWS, Azure, or GCP) and working knowledge of a second • Proven track record of delivering at least 6-8+ end-to-end Databricks projects • Strong familiarity with production deployment practices, including CI/CD and data governance frameworks (Unity Catalog) • Databricks Certified Data Engineering Professional (or equivalent)
• Professional development • Flexible work arrangements
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