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Über
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.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. Req ID: 233648
General Purpose
This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure. Duties and Responsibilities
Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure Ensure technical alignment with the Data Engineering team from HQ. Qualifications
Bachelor's degree in computer science, software engineering, information technology, or a related field. Advanced degree is a plus. 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks. Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing. Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance. 30% travel projected Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at
talentacquisition@cocacolaswb.com
if you need assistance completing this application or to otherwise participate in the application process. Know Your Rights dol.gov Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. ]]>
Wünschenswerte Fähigkeiten
- Azure
- ETL
- Java
- Python
- SQL
- Scala
- Data Quality
Berufserfahrung
- Data Engineer
- Data Infrastructure
- Data Analyst
Sprachkenntnisse
- English
Hinweis für Nutzer
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