Title:  Azure Big Data Engineer

MISSION / SUMMARY:

GPI is on the journey to build its Cloud data platform on Azure. The Big Data Engineer will be a very critical role that reports to Director- Data Technology & Operations will execute the data strategy for ingesting large volumes of data from multiple IT systems, SAP & Non-SAP ERP platforms, IoT data from our Paper Mills and Converting plants to build Enterprise data models.

JOB FUNCTIONS: Job functions include but are not limited to the following.

• Architecting, designing, and implementing advanced analytics capabilities.
• Build, Expand and optimize data and data pipeline architecture, as well as optimizing data flow.
• Support software developers, database architects, data analysts and data scientists on data initiatives and ensure data delivery architecture is consistent throughout ongoing projects
• Work with large datasets from Enterprise systems.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources like SAP, Semi-structured data etc using SQL and AZURE ‘big data’ technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with Cross functional teams to assist with data-related technical issues and support their data infrastructure needs.
• Continuously improve / optimize the in production systems.

BACKGROUND / EDUCATION/ EXPERIENCE:

• 8 to 10 Years of IT industry experience
• 5 to 7 Years Designing and implementing highly performance data ingestion & transformation pipelines from multiple sources using Databricks and ADF Azure Pipelines.
• Domain and Data Modeling Experience with SAP/SAP BW.
• Experience in Developing scalable and re-usable frameworks for ingestion and transformation of large data sets.
• Experience building data lakes & data warehouses to support operational intelligence and business intelligence
• Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times.
• 3 Year's Experience with Optimization and Tuning Experience.
• 3 to 5 Year's experience with Azure Synapse, IOT hub, Event hub, Streaming analytics.
• 3 to 5 Year's experience with Github or other code repositories.
• Good Understanding of Azure Cloud Architecture
• Strong programming experience with back end languages such as Python and SQL
• Strong Experience with Orchestration tools like Airflow

Required Experience

At Graphic Packaging International, we produce the paper cup that held your coffee this morning, the basket that transported those bottles of craft beer you enjoyed last weekend, and the microwave tray that heated your gourmet meal last night. We’re one of the largest manufacturers of paperboard and paper-based packaging for some of the world’s most recognized brands of food, beverage, foodservice, household, personal care and pet products. Headquartered in Atlanta, Georgia, we are collaborative, diverse, innovative individuals who create inspired packaging while giving back to our communities. With over 25,000 employees working in more than 130 locations worldwide, we strive to be environmentally responsible in our industry and in the communities where we operate. We are committed to workplace diversity and offer compensation and benefits programs that are among the industry’s best to reward the talented people who make our company successful. If this sounds like something you would like to be a part of, we’d love to hear from you. Learn more about us at www.graphicpkg.com.

Inspired Packaging. A World of Difference.

Graphic Packaging is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, age, gender or sex (including pregnancy), national origin, ancestry, marital status, sexual orientation, gender identity, genetic identity, genetic information, disability, veteran/military status or any other basis prohibited by local, state, or federal law. Click here to view the Poster, EEO is the Law.