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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INDSP