Data Engineer Sr
Northwestern Mutual- Full Time
- Junior (1 to 2 years)
The Big Data Engineer requires a minimum of a Bachelor’s degree in Computer Science, Computer Engineering, or a related field, along with 2-3 years of relevant software engineering experience. Strong fundamentals in back-end object-oriented programming, particularly in Python and Big Data technologies, are essential, as is experience with an agile software development lifecycle. Excellent English communication skills are needed for effective interaction with cross-functional teams and stakeholders, and familiarity with integrating RESTful APIs and microservices architecture is desirable.
As a Big Data Engineer, the candidate will write complex, maintainable code to develop scalable and user-friendly applications using Python and technologies like Databricks, Snowflake, Dask, Pandas, Spark data frames, and Apache Airflow. They will also develop highly available, high-performance, cloud-native applications leveraging multiple data sources and creating efficient data access RESTful APIs against relational and NoSQL databases. The role involves working with Jira and SCRUM agile methodology, collaborating with stakeholders globally, and utilizing CI/CD with GitHub actions.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.