Sr. Data Engineer

NCS Philippines; Taguig; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

NCS Philippines is seeking an experienced IT professional to lead and deliver automated ETL data pipelines within a Data Lake environment. The role requires strong Java development, ETL design, and DevOps practices to ensure timely deployments and production stability.

The ideal candidate has 5–8 years of Java experience, plus 8 years in ETL, with Big Data platform exposure and solid SQL/PLSQL skills. Strong communication and documentation abilities are essential.

Qualifications

• Bachelor's or Master's in IT/CS/Engineering
• 5–8 years of Java experience
• 5 years of DevOps experience (Git, Jenkins, SonarQube, Jira)
• 8 years of ETL development experience
• Experience with Big Data platforms and enterprise data stores
• Knowledge of SDLC methodologies (waterfall, iterative, agile)
• Strong SQL & PL/SQL skills
• Excellent communication and documentation skills
• Ability to meet tight SLAs in a fast-paced environment

Responsibilities

• Provides assessment and estimation of effort needed based on the provided Business request form.
• Develops and delivers automated data pipelines (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 including Solutions Design Document and Operations Guide.
• Provides support during the stabilization phase of pipes endorsed to production until declared BAU and approves builds.
• Documents source code.
• Other job-related activities that may be assigned from time to time.

Skills

SQL/PLSQL

Communication

Documentation

Fast-paced

Education

Bachelor's or Master's in IT/CS/Engineering

Tools

Git

Jenkins

SonarQube

Jira

Job description

DUTIES AND RESPONSIBILITIES:

• 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.

JOB SPECIFICATIONS:

• Education – At least graduate with a Bachelor’s or Master's Degree in IT, Computer Science, Engineering, or any related course.

• Related Work Experience – At least 5-8 years of Java 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.