Job Description
Transform data utilization with Kinaxis as a Staff Engineer in Cloud Data and Analytics. Immerse yourself in a hybrid work model, leading data modernization with advanced technologies.
In this role, you will leverage over seven years of experience in data engineering and analytics. Your expertise in GCP, Python, SQL, and mentoring junior engineers will play a key role. Collaborate with cross-functional teams to develop scalable data solutions and ensure data integrity throughout the organization.
Key Responsibilities: • Lead migration to cloud-native data stack • Deliver innovative data products aligned with strategic goals • Develop and maintain data models and analytics solutions • Validate data quality through rigorous techniques • Mentor junior data engineers for their growth
Requirements: • 7+ years’ experience in data engineering or analytics • Expertise in Google Cloud Platform services • Proficient in Python and SQL programming • Knowledge of Databric...
In this role, you will leverage over seven years of experience in data engineering and analytics. Your expertise in GCP, Python, SQL, and mentoring junior engineers will play a key role. Collaborate with cross-functional teams to develop scalable data solutions and ensure data integrity throughout the organization.
Key Responsibilities: • Lead migration to cloud-native data stack • Deliver innovative data products aligned with strategic goals • Develop and maintain data models and analytics solutions • Validate data quality through rigorous techniques • Mentor junior data engineers for their growth
Requirements: • 7+ years’ experience in data engineering or analytics • Expertise in Google Cloud Platform services • Proficient in Python and SQL programming • Knowledge of Databric...
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