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Senior IT Manager- AMA Data Solutions DevOps (Data Engineer)
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative work spaces where new ideas flourish. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.
What we Offer:
Continuous mentorship – you will collaborate with passionate peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and supportive work environment– employees are at the centre, we value every individual and support initiatives, promoting agility and work/life balance.
Just so you know:
We are an equal opportunity employer and value diversity at our company. Our mission of diversity and inclusion is: “Everyone valued. Everyone included. Everyone performing at their peak”.
The AMA Data Solutions DevOps DATA ENGINEER is a technical role responsible for designing and building applications that ingests, cleanses and converts raw data into usable models for other business use case applications, business analysts and data science teams within the region of P&G APAC, Middle East and Africa markets. He/She is an expert in data engineering tools, data warehousing solutions, data modelling and processing frameworks. He/She will be a technical champion for data engineering and will also help building capability within the Data Engineering organization.
The Role Develops IT Solutions. Leverage Agile and DevOps practices to build their IT solutions. They understand the business value their IT Solutions deliver. They understand how to develop on multiple development platforms (i.e. MS Azure, AWS, Salesforce, Web). They work in small Development Teams owning the Sprint Backlogs. They continuously look for opportunities to create more efficient DevOps processes leveraging automation, new (ARB approved) tools, and exploring new development platforms together with DevOps Engineers. They work hand-in-hand with Operations Engineers to improve flow between Development and Operations to deliver value faster.
- Graduate of Engineering or IT related course
- At least 7 years of experience in Software Engineering or Data Engineering
- At least 1-2 years of experience in building data models and solution design
- Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps, Chef, Puppet, 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
- Knowledge in scripting including Python, R or Scala
- Backend Development experience on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
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