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Data Engineer
hace 2 semanas
About the Role
">This is a unique opportunity to join Databricks as a Customer Data Engineer, playing a critical role in customer onboarding and deployment of our platform. As part of this team, you will directly work with customers to help them onboard and deploy Databricks in a production environment.
">Responsibilities:
">- ">
- Onboard new customers to the Databricks platform, assisting them to deploy new use cases.">
- Become an expert on the Databricks platform, guiding customers to make technical decisions that achieve their goals.">
- Work across multiple customer onboardings, tracking and reporting on their progress.">
Requirements:
">We are looking for individuals with 3+ years experience in a customer-facing technical role, preferably in pre-sales, professional services, consulting or customer success. Key skills include:
">- ">
- Data Engineering technologies (e.g., Spark, Hadoop, Kafka)">
- Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)">
- Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)">
- Solid understanding of the end-to-end data analytics workflow">
- Excellent time management and prioritization skills">
- Knowledge of public cloud platforms AWS, Azure or GCP would be a plus">
- Nice to have: Databricks Certification">
About Databricks
">Databricks is the leading Lakehouse Platform provider, used by over 7,000 organizations worldwide, including Comcast, Condé Nast and over 50% of the Fortune 500. Founded by the creators of Apache Spark, Delta Lake and MLflow, we empower data teams to solve the world's toughest problems.
">Our Commitment to Diversity and Inclusion
">Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices meet equal employment opportunity standards, considering candidates without regard to protected characteristics.
