Data Platform Engineer

2 weeks ago

Taguig, Philippines Yondu, Inc. Full time

Overview

As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Databricks Unified Data Analytics Platform.

Responsibilities
  • Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform.
  • Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
  • Develop and maintain ETL processes using Extract Transform and Load (ETL) tools.
  • Design and implement data models and database schemas using Microsoft SQL Server.
  • Troubleshoot and optimize data platform performance issues.
  • Ensure data quality and integrity through data validation and testing.
  • Develop and maintain data platform documentation.
  • Provide technical guidance and support to cross-functional teams.
Qualifications

Minimum Qualifications

  • Professional & Technical Skills: Required skill — Expert proficiency in Databricks Unified Data Analytics Platform.
  • Additional Must Have Skills: None
  • Additional Good To Have Skills: Extract Transform and Load (ETL), Microsoft SQL Server, Python.
  • Strong understanding of data modeling and database design principles.
  • Experience with data validation and testing techniques.
  • Experience with troubleshooting and optimizing data platform performance issues.
  • Experience with data platform documentation.
  • Excellent communication and collaboration skills.

Must have and Good to have skills : Databricks Unified Platform Catalog or Azure Databricks; Advanced SQL; Python or PySpark; familiarity with Cloud Platforms (Azure, AWS, GCP) is a plus. Experience in Agile Methodology.

Seniority
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Work Set-up

Hybrid (2x a week in the office)

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