Remote Data Engineer

Summary

Join Mavan as a Data Engineer and build data solutions for various use cases including tracking, reporting, product analytics, marketing optimization, and financial reporting. Implement dashboards, data pipelines, data structures, and data warehouse architecture to shape how Mavan functions and empower clients.

Requirements

• 7+ years of professional experience
• 5+ years experience working in data engineering, business intelligence, or a similar role
• Proficiency in programming languages such as Python/Java
• 3+ years of experience in ETL orchestration and workflow management tools
• Expert in Database fundamentals, SQL and distributed computing
• Experience working with Snowflake, BigQuery, Redshift, and/or PostgreSQL
• Familiarity with CDPs like Segment.io and mParticle
• Familiarity with Data Pipelines such as Funnel.io, Fivetran, and Stitch
• Excellent communication skills and experience working with technical and non-technical teams
• Strong in Google tracking products - particularly Google Tag Manager and Google Analytics - with comfort setting up new instances from scratch
• Knowledge of reporting tools such as Tableau, Google Data Studio, and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information

Responsibilities

• Work with business partners and stakeholders to understand data/reporting requirements
• Work with engineering, analytics and marketing, and 3rd parties to build pipelines and collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Manage reliability and scaling of portfolio of pipelines and data marts
• Document new and existing models, solutions, and implementations
• Code new automations for common processes
• Mentor and coach team members to improve their designs and solutions

Benefits

• Full Health, Medical, Dental, Vision
• 401k matching (up to 5%)
• Unlimited Vacation