Senior Data Engineer Sales Excellence Analytics
Senior Data Engineer Sales Excellence Analytics
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Job Description
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 cloudbased 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 crossfunctional 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.).
- Handson 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
Senior Data Engineer Sales Excellence Analytics
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 cloudbased 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 crossfunctional 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.).
- Handson 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.
Employment Type
Full Time
