Data Engineer

Job description

DESCRIPTION

We're looking for an experienced and results-oriented Data Engineer who is passionate about using data to drive important decisions, measure progress and improve the customer experience. As the Data Engineer on the team, you will be informing high-impact customer decisions across product safety, food safety, legal, FC operations and business development, working closely with senior leaders. You will dive deep into data to determine root cause of defects, build and maintain decision support tools, and present findings to business partners to drive improvements. The role is global in scope and includes business intelligence strategy, analysis and execution for the Global Food/Product Safety and Compliance team.

You will be successful if you excel at deriving clear insight from complex, dynamic data. You are not satisfied understanding the issues, instead preferring to take action, communicate your recommendations effectively and drive change. Working in a fast-paced environment, managing through uncertainty, and networking across a range of teams to weave the right data picture are challenges that energize you. You're comfortable working with a wide variety of data types, and are constantly pushing for greater automation.

In this position, the candidate will:
· Develop Analytics solutions to solve some of the most complex business and product challenges
· Conduct end to end deep dives using exploratory data analysis to create actionable insights
· Interface with cross functional stakeholders to gather data and metrics requirements.
· Developing interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key measures of business performance.
· Data modeling, Data extraction through ETL and SQL

Desired profile

BASIC QUALIFICATIONS

· Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field
· Demonstrated ability with Data-warehousing, database administrator roles, database migration.
· Strong SQL/VBA/Access skills across multiple platforms such as Oracle, Redshift, and MySQL
· Familiarity with Datanet/ ETL tools (internal)
· Strong experience in dash-boarding using Tableau/PowerBI/Excel/PowerPivots. Familiarity with R/Python to enhance dashboards is a plus.
· Knowledge of scripting for automation (e.g., VB Script, Python, R, Scala)
· Strong communication skill and team player.
· Demonstrated ability to manage and prioritize workload