Senior Data Engineer
At a glance
Senior Data Engineering role at Specialized. Uruguay, Montevideo (Office) · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn business analytics needs into reliable, efficient pipelines that support analysis and reporting
- Expand the data warehouse and ELT pipelines, while maintaining and supporting existing systems
- Help internal technical and non-technical teams use data for their own analytics and reporting
- Analyze complex datasets and build data models for warehouse use
What you bring
- You have built scalable ELT or ETL pipelines from scratch and supported them afterward
- You bring strong SQL skills and experience with enterprise relational databases and warehouse concepts
- You can write scripts in Python or R and communicate technical information clearly
- You have at least five years in data engineering or a similar role, or equivalent experience
Who this fits
This senior role suits an organized data engineer who can manage deadlines amid competing priorities and work with varied stakeholders. You should be comfortable learning on the job and helping colleagues take ownership of analytics.
From the employer
Summary
At Specialized, data is essential in modernizing our business. From delivering best-in-class physical product to developing a world-class rider experience, data engineers at Specialized build data pipelines that efficiently and reliably move data across systems to power this modernization.
Specialized is seeking a motivated and talented Data Engineer to join our Data Engineering Team. This role, reporting to the Data and Analytics Team, will be responsible for understanding business analytics needs and requirements and then turning those requirements into optimized and highly available data pipelines to be used throughout the business to facilitate deeper analysis and reporting. The role will focus on expanding our data warehouse and data pipelines through use of our ELT stack. To be successful in this role, applicants must be comfortable working with a variety of stakeholders and learning on the job. Data engineering experience and strong communication skills are a must. In this role, you will be exposed to a wide variety of cloud-based best-of-breed technologies and help accelerate the growth of analytics at a leading brand in the outdoor industry.
Essential Skills
- Highly organized, ability to stay on track and meet deadlines in a fast-paced work environment with competing priorities
- Demonstrated experience in designing and developing reliable and scalable ELT/ETL pipelines from the ground up and maintaining/supporting existing systems
- Empower technical and non-technical internal customers to drive their own analytics and reporting through written and verbal communication skills
- Experience with enterprise level RDBMS and an expert in SQL
- Understanding of data models and data warehouse concepts
- Proficiency in programming/scripting languages (Python/R)
- Demonstrated passion for analyzing and understanding complex data sets
Preferred Qualifications
- Bachelor's degree in information technology, statistics, mathematics, science, or equivalent experience.
- 5+ years of experience in a Data Engineer or similar role
- Ability to work with unstructured data
- Understanding of statistical data analysis, modeling, and machine learning
- Proficiency in visualization tools such as Tableau or Power BI
- Previous experience with modern public cloud-based data stack, including AWS, Snowflake, Matillion, Tableau
- Data architecture experience a plus
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