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Job Overview

As a Senior Data Engineer in the Business Intelligence group at DV, you will be a part of a new central team that will be focused on developing efficient processes and integrations in building a best in class data platform that will be the machine helping us make data driven business decisions. Centralizing, ensuring quality and standardizing data, creating pipelines, developing ETL/ELT processes and data modeling will be your wheel-house. You will be working with multiple technologies, frameworks and environments using different tools and techniques, working with billions of rows of data that we acquire daily.

This role will be a great platform for individual growth and development opportunities.

What you’ll do

  • Architect, design and build across all aspects of our data platform. Handling tens of Billions of transactions daily, creating the platform that will be used to uncover business insights.
  • Work on architecting, building, and launching highly scalable and reliable data pipelines. (ETL/ELT)
  • Collaborate on improving efficiency and quality of the data, including implementation of data monitoring and alerting process. (Orchestration & Data governance)
  • Leverage your data and business knowledge to help build and evolve data models to support self-service analytics. Collaborating with individuals across all areas of the business. (i.e. Sales, Marketing, Finance and Product). (Data Modeling)
  • Explore the technological landscape for new ways of producing, processing, and analyzing data in order to gain insights into our business, our clients and our product.
  • Operate production environments, investigate issues, assess their impact, and come up with feasible solutions.
  • Understand business needs and work with product owners to establish priorities

Who you are

  • You love what you do! You’re passionate about data and using it to make better business decisions. Making that mindset contagious across the organization.
  • Lead by example - design, develop, and deliver quality solutions.
  • Data curious, a love for problem solving and developing solutions.
  • 5+ years of experience in data engineering. Working with cloud-based environments similar to Snowflake, BigQuery, Azure and Redshift.
  • Strong background in data warehouse concept and design.
  • Proficient in SQL is a must.
  • Familiar with at least one scripting language (Python, R, C).
  • Experience developing ETL/ELT pipelines, using one of these tools a plus (Airflow, Apache beam, Snowflake, Workato ect.)
  • Familiar with CI/CD procedures and environments.
  • Experience with modern BI tools (Looker, Tableau, Domo etc.)
  • Experience acquiring data from multiple sources and technologies (CRMs, ERPs, ESPs)
  • Familiarity with the ad-tech industry.
  • Genuine desire to automate decision making, processes, and workflows.
  • Bachelor’s Degree or higher in Computer Science or related field or equivalent technical experience.
  • Excellent communication skills and a team player.

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DoubleVerify Overview

DoubleVerify is powering the new standard of marketing performance, giving advertisers clarity and confidence in their digital investment. Built on best practices, DV solutions create value for media buyers and sellers by bringing transparency and accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery and audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry.

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