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Open nowFirst seen 18 hours ago

Senior Data Engineer Sales Excellence Analytics

PEO Consulting Limited134 open roles

Where
Mandaluyong, Metro Manila, Philippines
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Your applicationOpen nowSenior Data Engineer Sales Excellence AnalyticsPEO Consulting Limited · Mandaluyong, Metro Manila, Philippines

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 18 hours ago

The posting

Job Title: Senior Data Engineer Sales Excellence Analytics Location: Mandaluyong

Job Description

About Accenture:

At Accenture, we believe your career is about what you want to be and who you want to become. Its about bringing your skills, curiosity, and best self to your work. Here, youll match your ingenuity with the latest technology to drive innovation and create lasting change.

About the Role:

We are seeking a Senior Data Engineer Sales Excellence Analytics to join our Sales Excellence team. In this role, you will play a critical part in managing and optimizing data environments, ensuring data integrity, and supporting analytics applications that provide actionable insights to our organization. You will also lead a team of data engineers, mentor junior team members, and implement best practices in data engineering.

Key Responsibilities:

  • Develop and maintain data models that consolidate and integrate data from multiple sources.
  • Structure and optimize data for use in analytics applications.
  • Cleanse, process, and transform large datasets to ensure data accuracy and consistency.
  • Implement ETL pipelines and data flow components to extract, transform, and load data efficiently.
  • Lead and mentor a team of Data Engineers, ensuring best practices in data engineering are followed.
  • Manage cloud-based data solutions, with a preference for Azure DevOps and Git.
  • Develop advanced SQL queries, stored procedures, and functions to manage complex data operations.
  • Utilize Excel automation techniques such as VBA, Power Pivot, and cube functions to enhance data usability.
  • Collaborate with cross-functional teams to support sales intelligence and operations.
  • Ensure compliance with data governance and quality assurance processes.

Required Qualifications:

  • Bachelors degree in Computer Science, Data Engineering, or a related field.
  • 4+ years of experience in data engineering, including experience managing and mentoring other data engineers.
  • Expertise in SQL, relational databases, and SQL objects (stored procedures, functions, views, etc.).
  • Hands-on experience with cloud platforms, preferably Azure DevOps and Git.
  • Strong ETL experience, including building and optimizing data pipelines.
  • Proficiency in advanced Excel techniques, including Power Pivot, VBA automation, and cube functions.
  • Exceptional accuracy, attention to detail, and ability to prioritize workload.

Preferred Qualifications:

  • Masters degree in a technical field.
  • Experience with Python for data manipulation and automation.
  • Familiarity with sales processes and systems.
  • Understanding of quality assurance processes in data engineering.

Qualified Candidates should send CV to [email protected]

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