PepsiCo is looking to develop and oversee its data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business.
Requirements
- 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture
- 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools
- 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc
- 2+ years in cloud data engineering experience in Azure(Azure Data Factory(ADF), ADLS-2, Databricks(Lakehouse, Workflow SQL, Unity catalog)
- Fluent with Azure cloud services
- Experience with integration of multi cloud services with on-premises technologies
- Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines
Responsibilities
- Active contributor to code development in projects and services
- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products
- Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance
- Responsible for implementing best practices around systems integration
- Security, performance and data management
- Empower the business by creating value through the increased adoption of data
- Data science and business intelligence landscape
Other
- 6+ years of overall technology experience
- 4+ years of hands-on software development, data engineering, and systems architecture
- Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
- Comprehensive benefits package to support our employees and their families, subject to elections and eligibility
