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Data Engineer
1 month ago
About the Role
Nielsen is seeking a highly skilled Data Engineer to join our OpIntel team. As a Data Engineer, you will be responsible for designing, developing, and supporting complex data engineering software solutions for analytical data storage.
Key Responsibilities
- Design and develop highly complex data engineering software solutions for analytical data storage (AWS Data Lake, Data Warehouse) by providing necessary design and technical expertise.
- Understand the big picture in an End-to-End data environment and understand upstream system data and downstream consumption requirements.
- Adopt standard platform tools for source code management, CICD, Orchestration, monitoring and alerting (gitlab, airflow, jenkins etc).
- Work on AWS cloud infrastructure in a DevOps capacity, including automating the deployment and scaling of EMR, EC2, S3.
- Participate in technical planning & requirements gathering phases including discovery, design, code, test and documentation.
- Demonstrate development best practices to guarantee the quality and sustainability of software deliverables.
- Support Testing and UAT phases and participate in Deployment.
About Nielsen
Nielsen is a global leader in audience measurement and analytics. Our OpIntel team is responsible for developing and maintaining the data engineering platforms that support our measurement of television viewing in over 30 countries around the world.
Requirements
- Bachelor's degree in computer science, information systems, software engineering or a related field (foreign equivalent degree acceptable) plus
- three (3) years of experience in: software development technology using Python and SQL to write data pipelines/ETL/ELT, designing OLAP and S3 object store data architecture
- Two(2) years of experience with/in: AWS DevOps, Python,Spark
- Some experience with/in: Test Automation, CICD Pipeline Development
