Data Engineer

Role Overview

The Data Engineer will design, build, and maintain robust data pipelines and infrastructure that power VML’s digital and media reporting and product analytics for their tier-one clients. This role focuses on ensuring high-quality, reliable, and accessible data for analysis, reporting, and advanced analytical initiatives.

What You Will Do

As a Data Engineer, your duties will include designing and developing scalable and reliable ETL/ELT pipelines, configuring and managing data streams, developing complex SQL transformations, and implementing robust data quality checks.

Why It Might Be a Fit

The ideal candidate will have strong engineering principles, a meticulous approach to data quality, and a collaborative spirit to work with cross-functional teams. Experience with Google Cloud Platform, Snowflake, and Amplitude is highly desirable.

Requirements

• Minimum 5 years’ engineering and development experience
• Strong Client-facing skills
• Strong attention to detail, excellent organization skills, and ability to work independently
• Exposure to enterprise-level clients and understanding of complex web/app ecosystems, privacy regulations, and best practices for data governance
• In-depth knowledge and understanding of various client websites, mobile apps, their business models, and online marketing/product strategy
• Cloud Platforms: Proven experience with Google Cloud Platform (GCP), particularly BigQuery, Cloud Storage, Cloud Functions, and orchestration tools like Cloud Composer (Apache Airflow)
• Data Warehousing: Solid expertise in Snowflake including data loading, SQL querying, performance tuning, and schema design
• ETL/ELT Tools: Strong hands-on experience designing and building data pipelines with Matillion (or similar tools like Fivetran, Stitch)
• Customer Data Platforms (CDPs): Experience with Rudder stack for event collection, data routing, and destination management
• Product Analytics Platforms: Familiarity with or experience integrating data with Amplitude (or similar product analytics tools like Mixpanel, Pendo)
• Programming & Scripting: Advanced proficiency in SQL for data manipulation and transformation. Experience with Python for scripting, automation, and API integrations
• BI & Reporting: Experience supporting data consumers using BI tools like Tableau (or Looker Studio, Power BI), understanding the data needs for dashboarding, and the data structures required by Amplitude
• Data Collection & Integration: Experience integrating data from various sources, including APIs (REST, GraphQL), SFTP, and understanding of event-driven data architectures, especially from advanced tagging and data collection systems
• Data Modeling: Practical experience with data modeling techniques for analytical databases
• Version Control: Proficiency with Git and modern software development practices

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid holidays
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission