BigData Developer with Python and SQL (offline)

Our client is the leading marketplace for investing in single-family rental homes that cash flow day one. With over $2B in transactions, their mission is to make real estate investing radically accessible, cost effective and simple.

What you will do:
Design, implement and deploy, scalable, fault-tolerant pipelines that ingest, and refine large diverse (structured, semi-structured and unstructured datasets) into simplified, accessible data models in production
Built departmental data-marts for supporting analytics across the company
Collaborate with cross-functional teams to understand data flows and processes to enable design and creation of the best possible solutions
Provide quality data solutions in a timely manner and be responsible for data governance and integrity while meeting objectives and maintaining SLAs
Build tools and fundamental data sets that encourage self-service
Improve and maintain the data infrastructure

Requirements:
3+ years professional experience in writing production Python code, shell scripts, and complex SQL
1+ year building and deploying data-related infrastructure (messaging, storage, compute, transform, execution via docker, and/or CI/CD pipelines across dev/stage/prod
Strong communication and interpersonal skills

Nice to have:
Experience with Airflow (or similar tools), AWS, Azure and DBT is a plus
Experience in data warehousing and dimensional data modeling

We offer:
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Medical insurance
Benefits program
Corporate social events

About us:
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.