DE033263-Data Eng Mgmt and Governance Assoc Mgr

Accenture in the Philippines; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Accenture in the Philippines is seeking a Senior Data Engineer to lead the creation and maintenance of the BI data blueprint, define data structures, and integrate systems using automated and AI-powered reporting tools. The role requires 5-8 years of analytics/data engineering experience and strong SQL/Python skills.

The position offers a hybrid work setup with night shift schedule for a client project located at a non-Accenture facility.

Qualifications

• 5-8 years of Analytics/Data Engineer experience.
• Strong proficiency in SQL and Python.
• Excellent data wrangling and optimization skills.

Responsibilities

• Design and maintain BI data blueprint and ETL pipelines.
• Perform dimensional modeling and data architecture best practices.
• Develop and maintain efficient SQL code and data pipelines.
• Support testing, deployment, and post-deployment support.
• Identify opportunities for automation and AI-assisted insights.

Skills

SQL

Python

Data wrangling

Code optimization

Job description

Eligibility & Position

ONLY THOSE APPLICANTS WHO ALREADY HAVE THE RIGHT TO LIVE AND WORK IN THIS COUNTRY ARE ELIGIBLE TO APPLY FOR THIS ROLE--- POSITION TITLE: Data Eng Mgmt and Governance Assoc Mgr WORK SETUP: Hybrid

Overall Purpose

The Senior Data Engineer strategically leads the creation and maintenance of the SWS Business Intelligence data blueprint. This role defines data structure, pipeline architecture, and integration across systems, ensuring the effective use of automation and AI for reports.

Responsibilities

• Requirement analysis and effort estimation for new development and enhancement to existing assets
• Dimensional modeling best practices
• Setting up and maintaining ETL pipelines
• Pipeline monitoring and issue resolution
• Data architecture best practices for relational databases
• SQL readability and optimal code structure
• Code development, testing, test documentation
• Support user testing and implement fixes
• Code deployment and post deployment support
• Identify pipeline automation and optimization opportunities
• Analysis and business intelligence visualizations
• This role also requires familiarity and utilization of AI tools

Other

Project Shift Schedule: Night Shift
Project Rest Day: Weekends Off
Project/Team Location: Client Site - Non-Accenture Facility

Skill and Qualifications

• At least 5-8 years’ worth of Analytics/Data Engineer experience
• Strong Proficiency in SQL
• Strong Proficiency in Python
• Excellent Data wrangling skills
• Optimization skills (to write optimal code to optimize resource usage)