Description
Summary:
The Data Engineer role involves designing and developing Business Intelligence solutions that enhance analytical capabilities and quality of insights within the Coca-Cola System. Key responsibilities include processing user requirements, data ingestion and transformation using Azure Data Factory, Python/PySpark, and Synapse Spark, as well as following Agile practices.
Work Focus
This senior role requires leading end-to-end data architecture solutions under the data development teams' scope. The successful candidate will partner with developers and stakeholders worldwide to transform business opportunities into comprehensive, integrated solutions.
Key Responsibilities:
* Architectural accountability for critical data solutions.
* Partner with Data, Technology, and Business Services Leads to guide technology direction and short-term roadmaps.
* Provide technical recommendations based on global platforms and best data architecture practices.
* Ensure architectural design implementation, including high-level code review and data quality.
* Migrate and upgrade data products in collaboration with Platform Architects.
* Mentor candidates for data architecture roles.
Qualifications and Requirements:
* BA/BS required in Information Technology, Computer Science, Mathematics, Statistics, or related field.
* 3+ years of experience in Data Lake platform implementation, including hands-on performance tuning.
* Experience ingesting data from different sources and/or ETL development.
* Hands-on experience with Big Data tools like Apache Spark and Azure Synapse Analytics.
* Cloud computing experience (preferred Azure).
* SQL/NoSQL databases and Data Warehousing solutions expertise.
* Proficiency in at least two programming languages: Python, Java, Scala, R.
* Data pipeline building and awareness of technologies for designing, constructing, integrating, and monitoring (DataOps).
* Understanding of logical and physical data models, big data storage architecture, metadata management, master data management, data lineage & data profiling.
* Leadership experience working with external resources (onshore and offshore).
* Expertise in communicating an architectural vision to various stakeholders.
* Team player with high emotional intelligence, able to multitask in a dynamic environment.
* Self-starter with confidence in personal abilities.
Additonal Skills:
* Master's degree in Science, Technology, and Data.
* Consulting experience.
* Real-time streaming data architectures experience.
* Basic understanding of Data Science and Machine Learning concepts and integrating ML model output into the data pipeline.
* Data engineer and Data Architect certifications.
* Cloud certifications (preferred Azure).
* Agile certifications.
Career Development Opportunities:
* Innovation and Technology Environment.
* Global Leader Network Exposure.
* Dynamic Work Environment with Management Support.
Required Skills:
* Apache Synapse.
* Big Data.
* Communication.
* Data Analytics.
* Data Integration.
* Influencing.
* Microsoft Azure.
* Microsoft Power BI.
* Problem Solving.
* Python Programming Language.
* Tableau.