As Lead Data Solutions Developer, you will help lead the evolution of our data-driven decision making at scale across the company. This role will be responsible for building, maintaining and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent and logical data to stakeholders in a wide variety of roles.
**To be considered an applicant you must reside in Mexico**
What You’ll Do
- Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing processes using a modern tech stack that includes Airflow, Snowflake, and AWS
- Establish relationships with key stakeholders and work closely with them in gathering requirements, gaining business context, and completing projects end-to-end
- Connect and explore disparate data sources from production systems, business applications and third party data sources
- Build and maintain data models, experiments, algorithms and related business and financial reporting logic
- Production support required on a rotational basis
- Mentor and coach more junior team members
- Transform low-value datasets into highly structured and consistent data models for use by analysts, data scientists and reporting tools
- Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
- Make recommendations to improve technical systems and infrastructure
- Responsible for comprehensive reviews of data flows and processes to ensure appropriate controls and procedures are in place and operating effectively
Who You Are
- 5 - 8 years of technology background are desired, preferably in data/analytics, and at least some programming experience required
- Advanced SQL skills are required
- Scripting skills in 1 or 2 languages (BASH/Python/JavaScript)
- Experience with Cloud OLAP database platforms such as Snowflake, Redshift, BigQuery.
- Familiarity with ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
- Experience with version control software such as Git
- Experience pulling data from an API using Python and Airflow (or similar technology)
- A broad exposure to business applications like CRM tools, financial reporting systems, marketing automation tools, etc (Salesforce, Zuora, Marketo)
- Experience in dimensional data modeling
- Exposure to Amazon Web Services, or Linux command
- Possess at least a Bachelor’s degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
- Quantitative mindset and passion for data
- Able to deal with ambiguity and problem-solve independently
- Self-starter: able to succeed and have an impact with minimal direction
- Ambitious, self-motivated, and goal-oriented
- Excellent time management skills
- Strong communication skills, both verbal and written
**Please submit your resume in English for review. **
- Fluent in English
Benefits: Health+Vision+Dental+Equity+Saving fund+ Grocery vouchers
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