As a Senior 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.

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
• Collaborate closely with internal business stakeholders to gather requirements, coordinate deployments, and meet deadlines
• 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
• 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

Who You Are

• 1-3 years experience in a related role
• Technical background, preferably in data/analytics, with programming experience or education
• Advanced SQL skills are required
• Experience with database platforms like Snowflake, Redshift, BigQuery or similar
• Advanced Python skills plus scripting in 1 or 2 other languages (BASH/Python/JavaScript/etc)
• Experience developing and maintaining ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
• Exposure to database design, 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
• Fluent in English

INDSP

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