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Scale Solution Engineer at Databricks | Sao Paulo, Brazil

DatabricksSao Paulo, Brazil
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience.3+ years of experience in a customer-facing technical role, such as pre-sales, professional services, consulting, or customer success. Solid understanding of the full data analytics workflow. Exceptional time management and prioritization abilities. Familiarity with public cloud platforms such as AWS, Azure, or GCP is advantageous. Proficiency in one or more programming languages, including Python, Scala, or SQL. Hands-on experience in data engineering technologies (e.g., ETL, DBT, Spark, Airflow) and data warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake). Excellent written and verbal communication skills in both English and Portuguese. Bonus: Knowledge of Data Science and Machine Learning (e.g., building and deploying ML models) and Databricks certification(s).

About the job

CSQ127R332
At Databricks, we empower our clients to tackle complex data challenges using our innovative Data Intelligence platform. As a Scale Solution Engineer, you will play a pivotal role in guiding customers through their onboarding journey. You will collaborate closely with clients to facilitate the deployment of Databricks within their production environments and accelerate the adoption of its features.

Your Impact:
  • Ensure a seamless experience for new customers by providing essential technical support at the onset of their journey.
  • Become a knowledgeable expert on the Databricks Platform, assisting customers in making informed technical choices.
  • Manage multiple customer accounts simultaneously, delivering tailored technical solutions.

About Databricks

Databricks is at the forefront of data innovation, dedicated to enabling organizations to solve their most pressing data challenges through our state-of-the-art Data Intelligence platform. Join us in transforming the way companies leverage data.

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