YOUR MISSION

As a senior engineer in Mural’s data engineering team, you will be working with a group of passionate engineers to build and enhance analytical data models for Mural. You will be responsible for transforming data from various sources such as Mural platform and Salesforce to easy-to-consume data models for analytical use cases. Your work enables Mural to become a data-driven company to make data-informed decisions.

Responsibilities

• Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models
• Use and mentor on best engineering practices such as version control system, CI/CD and code review
• Design, build, and maintain ELT pipelines in Enterprise Data Platform to ensure reliable business reporting
• Design & build ELT based data models using SQL & DBT
• Build analytics solutions that provide practical insights into marketing contribution and spend efficiency, customer 360, finance, product, sales and other key business domains
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
• Work with data and analytics experts to strive for greater functionality in our data systems

Skills & Required Experience

• 7+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environments
• Production experience working with dbt and designing and implementing Data Warehouse solutions
• Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc
• Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python
• Advanced working SQL knowledge and experience working with Cloud columnar databases (Amazon Redshift, Snowflake, Google BigQuery), query authoring (SQL) as well as working familiarity with a variety of databases
• Integration with 3rd party API SaaS applications like Salesforce and Marketo etc.
• Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Practice software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Ability to work cross-functionally, be detail oriented ,build and maintain trust with internal stakeholders in a fast and Agile development environment

Please submit your resume in English. #LI-Remote #LI-MB1