Big Data Engineer
Job Description Summary
As a part of Global IT at The Coca-Cola Company we are looking for a Big Data Engineer or Big Data Analyst to join a new team to create business insight on one of the world's most recognizable brands. The Coca-Cola Company sells its products in nearly every country in the world and each year we're adding new products to our portfolio. As you can imagine we have a lot of data and are looking for top talent to help engineer the next generation of data solutions. Some of the tools we use today include Spark, PySpark, Python, Databricks, ETL, SQL, and NoSQL.
We're looking for technologists who understand the fundamentals and principles of data and who want to solve business problems on a global scale in a large, complex environment. We care less about your knowledge of a particular technology or database and care more about your passion, creativity, and aptitude for engineering big data solutions. We also recognize that the tools we use today may not be the tools we use in the future so we are looking for engineers who are adaptable and eager to learn.Function Specific Activities:
Who you are...
- Passionate with an aptitude to quickly learn new and emerging technologies
- Self-starter willing to jump into difficult situations
- Insanely curious, analytical, and loves solving problems
- Agile and adaptable
- Strong verbal and written communication
- Able to obtain results from cross-functional teams
- Understand data life cycle and lineage
- Able to translate business needs to technical specifications
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, or related degrees
- Experience with SQL
- Minimum of 2 years' experience with ETL processes
- Database administration or development with a NoSQL database
- Strong analytic skills related to working with unstructured data sets
- Spark, MapReduce or similar technology
Preferred experience:
- Master's degree in Computer Science, Data Analytics, Business Analytics, or related field
- Experience with relational SQL and NoSQL databases in SQL Server, Cosmos, Azure
- Data modeling with analysis services
- Data Visualization with PowerBi, Tableau, Qlikview, or similar technology
- SSIS, SSRS, SSAS, AAS
- 3-5 years of work experience (this can include internships or co-ops)
Growth Behaviors:
- 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. Tracks and shares external trends, best practices, or ideas.
- 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.