Databricks platform engineer

2 weeks ago

Manila, National Capital Region, Philippines ARTECH TECHNOLOGY INC Full time ₱900,000 - ₱1,200,000 per year

Hi,

I'm Ishika and I work as Technical Recruiter at Artech. Please find the Job Description below and let me know if you are interested in the same.

Job Title:  Databricks platform engineer

Job Type: Hybrid(2x a week onsite)

Location: BGC Taguig, 1634,PH

Position Type: 6 months contract

No. of hours per week: 45

Shift Timings : Mid shift

If interested, please share your updated resume. Along with the best time to connect with you.

Moreover, please find my LinkedIn ID for reference -

Job Summary:

Responsible for designing, developing, and optimizing big data solutions using the Databricks platform. This role involves close collaboration with data engineers, data scientists, and stakeholders to ensure efficient data processing, quality, and performance

Key Responsibilities

• Develop and implement advanced data solutions on Databricks using Python, Scala, or SQL.

• Optimize ETL processes and data pipelines for performance and reliability.

• Integrate Databricks notebooks with tools like Azure Data Factory and Synapse Analytics

• Implement secret scopes and secure data access using Databricks CLI and Azure Service Principals.

• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.

• Conduct performance tuning and troubleshoot data workflows.

• Document processes and maintain high standards of code quality and maintainability.

Qualifications

• 5+ years of experience in data engineering or similar roles.

• Strong proficiency in Databricks, Apache Spark, and cloud platforms (Azure).

• Experience with data modeling, data cleansing, and warehousing at scale (1TB+).

• Familiarity with Agile delivery paradigms and software engineering best practices.

• Knowledge of core Python libraries (NumPy, Pandas, Matplotlib) is a plus Skills
• Databricks, Apache Spark

• Python, SQL, Scala

• Azure Data Factory, Synapse Analytics

• ETL, Data Modeling, Performance Tuning

• Cloud platforms: Azure

• CI/CD and Git integration workflows Must have and Good to have skills: Databricks, Apache Spark, Azure Data Factory, Synapse Analytics

Number of years experiences needed: 3-5

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