Principal Data Engineer

Data Engineering Team Member

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You will be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products.

Responsibilities

1. Active contributor to code development in projects and services
2. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products
3. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance
4. Responsible for implementing best practices around systems integration
5. Security, performance and data management
6. Empower the business by creating value through the increased adoption of data
7. Data science and business intelligence landscape
8. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions

Compensation and Benefits:

• The expected compensation range for this position is between $89,000 - $149,000
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process
• Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan

Qualifications

• 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. Azure or Databricks Certification is a plus.
• Experience with integration of multi cloud services with on-premises technologies.
• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
• Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
• Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
• Experience with version control systems like Github and deployment & CI tools.
• Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
• Experience with Statistical/ML techniques is a plus.
• Experience with building solutions in the Supply chain space(Digital Procurement, Manufacturing, Cost, Warehouse, Network Design) is a plus.
• Understanding of metadata management, data lineage, and data glossaries is a plus.
• Working knowledge of agile development, including DevOps and DataOps concepts.
• Familiarity with business intelligence tools (such as PowerBI).