Data Engineer

Job not on LinkedIn

June 13

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Digital Media Solutions

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Advertising • eCommerce • Finance

Digital Media Solutions is a company that specializes in connecting high-intent consumers with advertisers across a variety of verticals including insurance (auto, home, health), education, consumer finance, and ecommerce. Established in 2012, DMS focuses on delivering superior service and innovative digital performance advertising solutions. The company's approach is centered around compliance, leveraging industry expertise, and prioritizing customer needs to ensure brand safety and effective advertising. DMS helps advertisers achieve a superior return on ad spend while assisting consumers in making informed purchasing decisions. Recently, DMS transitioned ownership of its core business assets and subsidiaries to existing lenders and Imon Media LTD as part of a court-supervised sale process.

201 - 500 employees

🛍️ eCommerce

💸 Finance

💰 Post-IPO Equity on 2023-03

📋 Description

• A Data Engineer designs, builds, and maintains a company's data infrastructure, ensuring data is accessible, timely, and accurate for data scientists, applications, and other users. • They focus on creating data pipelines, systems for data collection, storage, and access, and optimizing data processing for scale. • This role requires a strong understanding of data management, programming, and cloud computing, along with the ability to collaborate with other teams. • They possess strong Python and SQL skills as well as familiarity with building and deploying these in a cloud environment. • Develop and maintain data processing pipelines (ETLs) • Develop and maintain API endpoints • Work with engineering teams across the company to improve dataflows and tracking • Ensuring data security and compliance with relevant regulations. • Assist with operational items in data warehouses (e.g. reloading data, optimizing reporting queries etc.) • Troubleshooting issues and identifying areas for improvement in data systems and pipelines.

🎯 Requirements

• At least 3-5 years of relevant work experience • Understanding of ETL fundamentals and experience building data pipelines • Experience with creating services and projects in Python • Advanced knowledge of SQL and experience with relational databases (Postgres, MySQL) • Experience with analytical storage engines and NoSQL databases (Redshift, DynamoDB, Clickhouse, or similar) • Experience building and deploying services in AWS • Experience with Agile methodologies • Preferred Bachelor’s degree in Statistics, Computer Science or related area of study preferred • Experience with modern business intelligence and product reporting tools (preferably Looker) • QA/Testing experience • Kubernetes / Docker experience • Machine Learning experience • Terraform or similar experience

🏖️ Benefits

• Medical, dental, vision insurance • Wellness and mental health benefits • Tax-advantaged health care accounts • Financial and income protection benefits (Life insurance, short term disability, 401(k) • Paid Time Off (PTO), holidays, and sick time off • Remote worker assistance for wellness and home office