Databricks Engineer - Hybrid BGC - Up to 185K

We have an urgent opening for

Databricks Engineers

Location: Taguig/Hybrid

Salary: Up to 185K

Years Required: 5

**The Role**

- The Azure Databricks Developer, will be responsible for designing, developing, and maintaining data processing workflows and analytics solutions using Azure Databricks.

- Use business requirements to drive the design of data solutions/applications and technical architecture. Create technical, functional, and operational documentation for data pipelines and applications.

- Develop and maintain ETL (Extract, Transform, Load) pipelines using Databricks to process and transform large datasets.

- Collaborate with data engineers and data scientists to design and implement scalable and efficient data processing workflows.

- Build and optimize Apache Spark jobs and clusters on the Databricks platform.

- Develop and maintain data ingestion processes to acquire data from various sources and systems.

**The Requirements**

- B.S. in Computer Science/Engineering or relevant field

- 8+ years of experience in the IT industry

- 3+ years of hands-on experience in data engineering/ETL using Databricks Notebook programming on Azure or any cloud infrastructure and functions

- Solid Databricks development experience with significant Python, PySpark, Spark SQL, Pandas, NumPy in Azure environment.

- Hands on experience of building data pipelines using Databricks and Apache Spark.

**Experience:**

- Databricks: 3 years (Required)

- Azure: 3 years (Required)

- Cloud development: 5 years (Required)

- Python: 3 years (Required)

if you are interested, please email your detailed and updated CV at jc.gayoma@we-source.org and include the below details

Subject: Monster_Databricks Engineer_Name

Availability to join:

Location:

Current Salary:

Expected Salary:

Willing to work in BGC/Hybrid?

Years of Databricks Engineering Role:

Years in the IT Industry:

Years in Data Engineering:

Years of using Azure:

Years in the below:

Python:

PySpark:

Spark SQL:

Pandas:

NumPy:

Azure Synapse:

Databricks Lakehouse Architecture:

Azure Data Factory (ADF):

PowerBI, Predictive Analytics:

AI/ML:

Medallion architecture:

Years of Cloud Development:

Certifications

Thank you