Data specialist serp_jobs.h1.location_city

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PepsiCo operates in an environment undergoing immense and rapid change. Big data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce mobile experiences and IoT. The key to winning in these areas is leveraging enterprise data foundations built on PepsiCos global business scale to enable business insights advanced analytics and new product development. PepsiCos Data Management and Operations team is tasked with the responsibility of developing quality data collection processes maintaining the integrity of our data foundations and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

Responsibilities

As a member of the data engineering team you will be the key technical expert developing and overseeing PepsiCos data product build & operations and driving a strong vision for how data engineering can proactively create a positive impact on the business. Youll 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 PepsiCos flagship data products around topics like revenue management supply chain manufacturing and logistics. You will work closely with process owners product owners and business users. Youll be working in a hybrid environment with in-house on-premise data sources as well as cloud and remote systems.

Accountabilities :

Own data pipeline development end-to-end spanning data modeling testing scalability operability and ongoing metrics.

Ensure that we build high-quality software by reviewing peer code check-ins.

Define best practices for product development engineering and coding as part of a world-class engineering team.

Collaborate in architecture discussions and architectural decision-making that is part of continually improving and expanding these platforms.

Lead feature development in collaboration with other engineers; validate requirements / stories assess current system capabilities and decompose feature requirements into engineering tasks.

Focus on delivering high-quality data pipelines and tools through careful analysis of system capabilities and feature requests peer reviews test automation and collaboration with other engineers.

Develop software in short iterations to quickly add business value.

Introduce new tools / practices to improve data and code quality; this includes researching / sourcing 3rd party tools and libraries as well as developing tools in-house to improve workflow and quality for all data engineers.

Support data pipelines developed by your teamthrough good exception handling monitoring and when needed by debugging production issues.

Compensation and Benefits :

The expected compensation range for this position is between $64900 - $132550.

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.

A business development incentive equity may be awarded based on eligibility and performance.

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.

Additional Qualifications / Responsibilities

Qualifications

4 years of overall technology experience that includes at least 3 years of hands-on software development data engineering and systems architecture.

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 the following technologies :

Python

Orchestration platforms : Airflow Luigi Databricks or similar.

Relational databases : Postgres MySQL or equivalents.

MPP data systems : Snowflake Redshift Synapse or similar.

Cloud platforms : AWS Azure or similar.

Version control (e.g. GitHub) and familiarity with deployment CI / CD tools.

Fluent with Agile processes and tools such as Jira or Pivotal Tracker.

Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes is a plus.

Understanding of metadata management data lineage and data glossaries is a plus.

Required Experience :

IC

Key Skills

GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 64900 - 132550