Sr. Data Engineer

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
Looking for a savvy Sr Data Engineer to join team of Modeling / Architect experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Experience
8+ years of overall industry experience and minimum of 6-7 years of experience in building and deploying large scale data processing pipelines in a production environment using GCP.
Qualification

• Science or Engineering Degree with master's in computer science (desirable)
• A master's in computer science, Computer, Electrical Engineering, or a related field.
• Self-reflective, has a hunger to improve, has a keen interest to drive their own learning. Applies theoretical knowledge to practice
• Ability to work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues
• Ability to think creatively, plan and prioritize work in a fast-paced environment.
• Experience working with Google Cloud Platform (Big Query, GCS, Cloud Function, Composer etc.)
• GCP Professional Data Engineer certification (desirable)
• Having Experience of business domains like FMCG/ CPG /Retail /Supply Chain will be added advantage.

What extra ingredients you will bring:

• Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts.
• ETL or Data integration tool: Experience in Talend is highly desirable.
• Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics
• Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query.
• Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc.
• Programming: Understanding of OOPs concepts and hands-on experience with Python/Java for programming and scripting.
• Data Processing: Experience in working with any of the Data Processing Platforms like Dataflow, Databricks.
• Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow and Alteryx

Nice to have

• Visualization: Exposure of reporting tools like Tableau, Looker and PowerBI.
• API: Experience in implementing solutions involving REST APIs, Graph QL etc.
• DevOps: Worked with framework involving CI-CD pipelines, like Jenkins and Git setup. Should have understanding about Identity and Access Management (IAM) from cloud standpoint.
• Data Quality: Exposure of all the phases of testing, data validation and data reconciliation.
• Have Built analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science