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Databricks Customer Success L1 Analyst
Monterrey
Job No. 12946226
Full-time - On-Site
Descripción De La Posición
DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!
Did you know that Accenture is leading the digital transformation in the World?
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 640,000 employees worldwide.
We Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects.
Accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law.
Requisitos
As an Databricks Customer Success L1 Analyst, you will support a variety of issues ranging from simple access problems to basic troubleshooting of technical challenges. Your primary responsibilities will include:
- Resolving user tickets, including access issues, incomplete onboardings, and basic code or cluster configuration problems.
- Escalating complex issues requiring custom solutions to the L3 team when necessary.
- Performing operational tasks using tools such as Excel and Word, and maintaining Confluence documentation to support knowledge sharing and onboarding.
- Collaborating with a small team to discuss unresolved tickets and ensure efficient issue resolution.
Key Skills and Knowledge
- Basic-to-intermediate understanding of Databricks, Python, SQL, and Spark.
- Strong troubleshooting skills, developed through hands-on ticket resolution.
- Familiarity with data tools like Spark (e.g., resolving pandas-related issues or upgrading cluster configurations).
- Organizational and operational proficiency for tasks beyond ticket handling.
