Databriks Engineer

hace 2 semanas


Guadalajara, México amdocs A tiempo completo

**Job ID**:203036
**Required Travel**: Minimal
**Managerial - No**
**Location**:reqLocation**

**Who are we?**:
**In one sentence**:
We are seeking a highly skilled **Data Engineer with deep expertise in Databricks**to join our growing team. This role is ideal for someone passionate about building scalable data solutions and eager to expand their knowledge in **performance testing tools**within the Databricks ecosystem.

**What will your job look like?**:
**Key Responsibilities**:

- Design, develop, and optimize data pipelines and workflows using Databricks.
- Collaborate with cross-functional teams to implement data solutions that support business objectives.
- Explore and integrate performance testing tools to evaluate and enhance Databricks workloads.
- Write clean, efficient, and well-documented Python code for data processing and automation.
- Participate in code reviews, knowledge sharing, and continuous improvement initiatives.

**All you need is...**:
**Requirements**:

- Proven experience as a Data Engineer with a strong focus on Databricks is a must.
- Proficiency in Python for data engineering tasks.
- Interest or experience in performance testing tools (e.g., Apache JMeter, Loadrunner, Locust, or similar).
- Strong problem-solving skills and a growth mindset.
- Based in Guadalajara or willing to work in a hybrid model from this location.

**Nice to Have**:

- Experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with CI/CD pipelines and DevOps practices in data engineering.

**Why you will love this job**:

- You will work on large challenging and complex programs
- You will be able to work with the best and brightest minds to collaborate across accounts/regions to provide a single voice
- You will have the opportunity to work with the industry most advanced technologies

**Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce