Associate Manager of Data Management and Operations
About The Position
Job Title: Associate Manager of Data Management and Operations Employer: PepsiCo, Inc. Location: 7701 Legacy Drive, Plano, Texas 75024 Responsibilities Duties: Manage a team of data engineers, including mentoring, process management, and vetting designs. Oversee work related to structuring and storing data into unified taxonomies and linking them with standard identifiers. Actively contribute into 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. Implement best practices around data engineering, data science, BI, and other systems integration, security, performance and data management. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Define and manage SLA’s for data products and processes running in production. Prototype new approaches and build solutions at scale. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Telecommuting permitted 100%: work may be performed in any location in the U.S. #LI-DNI Qualifications Job Requirements: Bachelor's degree (US or Foreign Equivalent) in Computer Science, Electronic Engineering, or other technical fields and six (6) years of experience in job offered or related role. Must have four (4) years’ experience with: Data Lake Infrastructure, Data Warehousing, and Data Analytics tool; Development experience in programming languages: Python, PySpark, and SQL; and SQL optimization and performance tuning. Must have two (2) years’ experience with: Cloud data engineering experience in Azure, with fluency in Azure cloud services; Data modeling, data warehousing, and building high-volume ETL/ELT pipeline; at least one MPP database technology such as Redshift, Synapse or SnowFlake; and Azure Data Factory, Azure Databricks and Azure Machine learning tools. Salary: $157,414 – $175,000/ year QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com and search req ID # 434054 or job title. Click on matching job and follow directions to submit resume. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. PepsiCo is an equal opportunity employer. Minorities/Females/Disability/Protected Veteran.
Requirements
- Bachelor's degree (US or Foreign Equivalent) in Computer Science, Electronic Engineering, or other technical fields and six (6) years of experience in job offered or related role.
- Must have four (4) years’ experience with: Data Lake Infrastructure, Data Warehousing, and Data Analytics tool
- Development experience in programming languages: Python, PySpark, and SQL
- SQL optimization and performance tuning.
- Must have two (2) years’ experience with: Cloud data engineering experience in Azure, with fluency in Azure cloud services
- Data modeling, data warehousing, and building high-volume ETL/ELT pipeline
- at least one MPP database technology such as Redshift, Synapse or SnowFlake
- Azure Data Factory, Azure Databricks and Azure Machine learning tools.
Responsibilities
- Manage a team of data engineers, including mentoring, process management, and vetting designs.
- Oversee work related to structuring and storing data into unified taxonomies and linking them with standard identifiers.
- Actively contribute into 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.
- Implement best practices around data engineering, data science, BI, and other systems integration, security, performance and data management.
- Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
- Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
- Define and manage SLA’s for data products and processes running in production.
- Prototype new approaches and build solutions at scale.
- Create documentation for learnings and knowledge transfer.
- Create and audit reusable packages or libraries.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
