Senior Data Engineer
3 weeks ago
We are PepsiCo, a leading food and beverage company with a global portfolio of diverse and beloved brands. Our Enterprise Data Operations (EDO) team is responsible for developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists to access the data they need for decision-making and innovation.
Key Responsibilities
- Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company.
- Responsible for day-to-day data collection, transportation, maintenance/curation, and access to the PepsiCo corporate data asset.
- Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science, or other stakeholders.
- Increase awareness about available data and democratize access to it across the company.
Requirements
- 3+ years of experience in SQL optimization and performance tuning.
- Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
- Experience with data profiling and data quality tools like Apache Griffin, Deequ, or Great Expectations.
- Current skills in Python, orchestration platforms, relational databases, MPP data systems, cloud platforms, version control, and deployment tools.
- Fluent with Agile processes and tools like Jira or Pivotal Tracker.
- Experience with running and scaling applications on cloud infrastructure and containerized services like Kubernetes is a plus.
- Understanding of metadata management, data lineage, and data glossaries is a plus.
Education
- BE/B. Tech in Computer Science, Math, Physics, or other technical fields.
Skills, Abilities, Knowledge
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management.
- Proven track record of leading, mentoring data teams.
- Strong change manager. Comfortable with change, especially that which arises through company growth. Able to lead a team effectively through times of change.
- Ability to understand and translate business requirements into data and technical requirements.
- High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
- Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
- Strong leadership, organizational, and interpersonal skills; comfortable managing trade-offs.
- Foster a team culture of accountability, communication, and self-management.
- Proactively drives impact and engagement while bringing others along.
- Consistently attain/exceed individual and team goals.
- Ability to lead others without direct authority in a matrixed environment.
Competencies
- Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
- Understands both the engineering and business side of the Data Products released.
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