Data Engineer

Unilever•Rogers, AR

About The Position

The North America Data Engineer Associate will work with peer data engineers to develop data solutions to support product analytics managers and data scientists. This role will be partnering with internal data scientists, product managers, and external stakeholders across the business to deliver advanced analytics. The ideal candidate is an experienced data engineer with vast hands-on experience and leadership experience in leading projects and teams from the ground up.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Business or related field or equivalent combination of education and experience
3+ years proven experience in large-scale software development
3+ years of data engineering experience
Consistent track record of delivering on commitments
Ability to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk
Awareness of associated KPIs and general metrics of customer success criteria.
Experience working with data sources such as Retailer POS systems, IRI, Nielsen, Panel data such as Numerator and Nielsen/IRI Panel.
Retail data experience – working with Walmart, Target, Amazon, Dollar General, Kroger..etc
Experience building positive relationships across teams and roles: business partners, product, engineering, architecture, and platforms
Ability to lead, influence and communicate effectively, both verbally and written, across teams and roles
Solid foundation in data structures, algorithms, and architecture patterns
Experience building distributed / cloud scalable, high-performance data solutions
Experience with batch processing frameworks such as Spark and Hive
Experience with messaging/streaming/complex event processing tooling and frameworks with an emphasis on Spark Streaming or Structured Streaming or Apache Nifi
Experience with data warehousing related concepts - e.g. SQL and SQL Analytical functions
Ability to learn new technologies, adapt quickly, and lead a team of highly capable engineers in solving complex problems
Experience participating in key business, architectural and technical decisions
Ability to identify and resolve both people and process related issues
Experience in Agile/Scrum application development
Practical approach to solving sophisticated problems with ambiguous requirements

Nice To Haves

Experience programming in Python & SQL
Experience working in a public cloud environment, particularly Microsoft Azure
Experience building RESTful API’s to enable data consumption
Experience in developing Power BI dashboards using DAX, Power Automate flows, Web Applications
Experience with practices like Continuous Development, Continuous Integration and Automated Testing

Responsibilities

Facilitate team’s delivery of scalable, maintainable, performant data engineering solutions.
Work through your teams to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk.
Drive the design and implementation of new data projects and the optimization of existing solutions.
Collaborate across teams - business partners, product, engineering, architecture, platforms - to facilitate solution delivery.
Work with architecture and engineers to ensure quality solutions are implemented and engineering best practices are defined and followed.
Drive collaborative reviews of designs, code, and test plans.
Define the team’s technical roadmap and influence its adoption.
Anticipate, identify and solve issues concerning data management to improve data quality.
Work across teams to resolve operational & performance issues.
Identify and remove technical bottlenecks for your engineering teams.
Manage, mentor, and inspire the team; manage performance, goals and development potential.
Provide guidance to team members on work items or technical scenarios.
Build analytical tools that utilize the data pipeline to provide actionable insights, operational efficiency, and other key metrics.
Identify, design and implement internal process improvement; driving change with new innovative solutions, optimizing data delivery, re-designing for greater scalability.
Enable data driven decision-making across customer development, supply chain, consumer marketing insights, and disrupting data silos.
Be an advocate and set an example of digital cultural.
Transform the way Unilever operates with a proactive, informed risk-taking, winning attitude!