ID: 13093 **What you will do** - Build sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations; - Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services; - Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities; - Conquer complex problems by finding new ways to solve with simple, efficient approaches with a focus on reliability, scalability, quality, and cost of our platforms; - Build processes supporting data transformation, data structures metadata, and workload management; - Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions. **Must haves** - Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field; - 5+ years of professional Dimensional Data Warehousing/Data Modeling and ‘Big Data’ Experience; - 5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services; - Expertise in establishing data quality assurance frameworks particularly using Great Expectations; - Experience working directly with data analytics to bridge business requirements with data engineering; - Experience with AWS infrastructure; - Excellent troubleshooting and problem-solving skills; - Ability to operate in an agile, entrepreneurial start-up environment, and prioritize; - Excellent communication and teamwork, and a passion for learning; - Curiosity and passion for data, visualization, and solving problems; - Willingness to question the validity, accuracy of data and assumptions. **Nice to have** - Experience with Redshift, Snowflake, or other MPP databases is a plus; - Knowledge for ETL/ELT tools like Informatica, Matillion, IBM DataStage, or SaaS ETL tools is a plus; - Experience with Tableau or other reporting tools is a plus; - Experience with CI/CD using tools like CircleCI, Harness is a plus. **The benefits of joining us** - **Professional growth** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps - **Competitive compensation** We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities - **A selection of exciting projects** Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands - **Flextime** Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.