Consultant, Data Engineer
Singapore - Singapore
Applications have closed
The Coca-Cola Company
We are here to refresh the world and make a difference. Learn more about The Coca-Cola Company, our brands and our purpose.Location(s):
SingaporeCity/Cities:
SingaporeTravel Required:
Relocation Provided:
NoJob Posting End Date:
October 18, 2024Shift:
Job Description Summary:
Please note: This is not a Remote role and will require the incumbent to be based in Singapore and work a hybrid schedule.
This is an Individual Contributor role.
Job Description Summary
At The Coca-Cola Company, we are committed to creating value across the digital and physical world through an integrated ecosystem of platforms. Our digital strategy not only benefits our consumers and customers but also our organization and system. We are currently seeking a Master Data Analyst to join our team. The ideal candidate will be an analytical thinker, a self-learner, and capable of leading a team through proactive solution development. If you have a passion for innovation, join us at the forefront of our iconic digital transformation.
What You’ll Do for Us
Leading the design and engineering of features and solutions related to data exploration, data transformation, data modeling, and data visualization.
Developing well-designed, testable, efficient solutions using best software development practices.
Designing, developing, testing, documenting, deploying, monitoring, and supporting code.
Participating in a scrum team continuously delivering incremental high-quality code & reports to production.
Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources.
Providing visibility over plans and status to multiple stakeholders (IT).
Working side by side with Architects, Product Managers & Product Owners defining and supporting platforms and applications.
Supporting, mentoring, and coaching junior engineers.
Qualification & Requirements
Bachelor’s or Master degree in computer science, software engineering, information systems, business analytics or related field.
3+ years’ experience of data platform development and operations.
Hands on development for the ETL pipelines using Azure stack, including ADLS, Azure Data Factory, Azure Databricks, Logic Apps and etc. or any other cloud platform.
Proficiency in relational SQL databases and non-relational databases.
Experience with at least one of these programming languages: Python, Scala, R, Pyspark.
Experience on data modeling framework include data schemas and views, build and maintain data warehouses/data lakes
Proficiency in semantic model development thru any platform like Visual Studio, Dax Studio, Tabular Editor and etc.
Understanding of data governance practices and standards
Experience on CI/CD pipeline for deployment across various environments
Preferred FMCG domain knowledge and retail measurement services tool
Knowledge with predictive model to recommend actions and strategies, experienced in various machine learning mechanism like regression, clustering, classification etc.
Knowledge on AI and relevant solutions to address technical difficulties and business needs
Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps.
Knowledge with developing applications using public cloud, preferably Azure, specially focused in Data Services.
Understanding of Agile Scrum, CI/CD, DevOps best practices.
Solid understanding of Git-based version control.
Experience working in a multinational, distributed team, with in-house and external delivery resources.
Working on one Agile life cycle management tool such as Jira or Azure DevOps.
What can help you be successful in the role?
Growth Behavior:
Growth Mindset: Demonstrates Curiosity. Welcomes failure as a learning opportunity.
Smart Risk: Makes bold decisions/recommendations.
Externally Focused: Understands the upstream and downstream implications of his/her work.
Performance Driven & Accountable: Has high performance standards. Outperforms her/his peers.
Fast/Agile: Removes barriers to move faster. Experiments and adapts. Thrives under pressure and fast pace.
Empowered: Brings solutions instead of problems. Challenges the status quo. Has the courage to take an unpopular stance.
Leadership Behavior
Act Like an Owner: Deliver results, creating value for our brands, our System, our customers and key stakeholders.
Collaborate with the System, Customers and Key Stakeholders
Develops Self and Others: Develop self and support others' development to achieve their full potential.
Drive Innovation: Generate new or unique solutions and embrace new ideas that help sustain our business.
What We Can Do For You
Career growth and development: Leveraging our boundaryless network, we provide access to educational platforms and provide coaching, mentoring and feedback, as a part of our Leadership & Development process.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. We want to make our culture inevitable.
International Experience: Become part of international projects and work along multicultural teams, through our global network.
Skills:
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Business Analytics CI/CD Classification Clustering Computer Science Databricks Data governance Data visualization DevOps Engineering ETL Git GitHub Jira Machine Learning ML models Pipelines PySpark Python R RDBMS Scala Scrum SQL Terraform Testing
Perks/benefits: Career development Startup environment
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