Data Engineer - Manager
JAKARTA GENERAL OFFICE, Indonesia
Procter & Gamble
Job Location
JAKARTA GENERAL OFFICEJob Description
Your team
About the Data Solutions & Engineering Team:
We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for AMA Business, by building unified data platforms, delivering customized BI tools for managers & empowering insightful business decisions through AI in Data.
In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
About P&G IT:
Digital is at the core of P&G’s accelerated growth strategy. With this vision, IT in P&G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification & Innovation. IT in P&G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value & growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, Product Supply.
Responsibilities of the role
Understand the business requirements and convert into technical design of data pipelines and data models
Write code to ingest, transform and harmonize raw data into usable refined models
Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
Demonstrate standard coding practices to ensure delivery excellence and reusability
Job Qualifications
At least 3 years of experience in Data Engineering
Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
End-to-end capabl in scripting language like Python
Backend Development expertise on SQL Database, SQL Data Warehouse, databricks or any data warehousing solutions in cloud
Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
Knowledge in cloud technologies (Azure Cloud) – at least 2 years inclusive of software engineering experience
Knowledge in Agile or Scrum methodologies with proven track record of successful projects
Graduate of Engineering or IT related course
About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit http://www.pg.com to know more.
Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.
We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
Job Schedule
Full timeJob Number
R000121680Job Segmentation
Recent Grads/Entry Level (Job Segmentation)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data Databricks Data governance DataOps Data pipelines Data visualization Data warehouse Data Warehousing DevOps E-commerce ELT Engineering ETL GitHub Machine Learning Pipelines Python Scrum SQL
Perks/benefits: Career development
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