Lead Data Solutions Developer

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 ETLELT 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