Associate Business Process Analyst

hace 4 semanas

Miguel Hidalgo, México Colgate-Palmolive A tiempo completo

No Relocation Assistance Offered
# 157518 - Del.Miguel Hidalgo, Mexico City, Mexico

In today's dynamic technology environment, it is an exciting time to be a part of the information technology team at Colgate. Our highly technical and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape. What role will you play as a member of the Colgate's Information Technology team? Data Engineers focus on expanding and optimizing our data, data pipeline architecture, data flow and collection for multi-functional teams. 


Job Summary:

The Data Engineer will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You will support our software developers, data analysts on data initiatives and will ensure efficient data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. You will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This team is a group of innovators and technologists that love to learn and collaborate

What you will do:

Build and maintain optimal data pipeline architecture Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources. Assist with data-related technical issues and support their data infrastructure needs Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data tools for analytics and business that assist them in building and optimizing our product into an innovative industry leader Work with data and analytics specialists to strive for greater functionality in our data systems

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, similar degree or experience. At least 2-3 years of experience in a Data Engineering role Experience with data warehousing platforms/storage platforms such as Snowflake,DBT, Bigquery Experience with business analytics tools such as Domo, Sigma etc. Experience with data pipelines and streaming frameworks such as Airflow Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

Preferred Qualifications

Master's Degree Computer Science, Informatics, Information Systems or another quantitative field Experience with object-oriented/object function scripting languages: Python Strong analytic skills related to working with unstructured datasets 

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