Job Description

  • Provides assessment and estimation of effort needed based on the provided Business request form.
  • Develops and delivers automated data pipelines (Extract, Transform, Load-ETL) jobs in the Data Lake within expected timelines.
  • Coordinates with various support groups to accomplish assigned automated data pipes for development
  • Prepares deployment package for endorsement to Release Testing Team which includes Solutions Design Document and Operations Guide.
  • Provides support during the stabilization phase of pipes endorsed to production until declared BAUeview and approves builds based on the set framework, standards, and best practices.
  • Documents source code.
  • Other job-related activities that may be assigned from time to time.

Minimum Qualifications

  • Related Work Experience – At least 3-5 years of Python or Spark Experience
  • 5 years DevOps Experience (Git, Jenkins, SonarQube, Jira)
  • 8 years of experience in ETL development and management
  • In-depth experience in ETL design, implementation, and support.
  • Experience with Big Data Platforms.
  • Experience establishing and building operational data stores and analytic data stores (enterprise data warehouse)
  • Knowledge – Knowledgeable in the following:
  • In-depth knowledge on Big Data and Distributed Computing
  • Advanced technical experience and business knowledge in various SDLC methodologies including waterfall, iterative, agile software development life cycle, or related disciplines/processes are preferred.
  • Skills
  • Must have strong SQL & PL/SQL skills with the ability to solve highly complex challenges
  • Must have good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization.
  • Must have the ability to communicate clearly in writing to document data requirements and translate them into technical solutions.
  • Must be adept to work in a fast-paced environment with tight SLAs.


Job Details

Role Level: Associate Work Type: Full-Time
Country: Philippines City: Taguig National Capital Region
Company Website: http://www.yondu.com Job Function: Data Science & AI
Company Industry/
Sector:
Information Technology and Services

What We Offer


About the Company

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