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Q

Senior Data Engineer

q7jdnweteg6zes8mjy5lwkm5dla351024b1f7vzciy9t0hkhiuir1f9sbczdpcx8 · 30+ days ago

York, NY, US

Negotiable

Full-time

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Position: Data Engineer
Industry: Media and Entertainment
Location: New York City OR REMOTE

Summary:
We're looking for an experienced Data Engineer to join our client's growing team of top notched IT professionals. You will work closely across multiple groups including Editorial and Audio, Marketing, Advertising, etc. to achieve their goals and objectives. The Data Engineering team builds tools throughout the stack while sharing knowledge across these departments.

As the company grows, they're looking for Data Engineer who will help solidify and expand our pipelines and maintain their data warehouse. Their business model is based on performing complex and very detailed analyses of how our products perform with their subscribers. You'll be responsible for working alongside analysts, product, marketing, and other teams to define new data collection components and measurement schemes that support each new product and feature.

How can add value to their mission:

Create and maintain data pipelines to provide insights and drive business decisions
Establish data warehousing strategy (ex. Kimball, Data Vault, etc.)
Maintain data infrastructure on our AWS accounts
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Write unit/integration tests, contributes to engineering wiki, and documents work
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

What You'll Need to Succeed:

7+ years of industry experience measuring product performance and user behavior
Experience working with a variety of data management technologies, including RedShift, Kinesis/Kafka, Glue, Spark, Postgres, Airflow, dbt, and others.
Experience implementing BI reporting tools such as Looker
Experience interfacing with engineers, product managers and analysts to understand data needs
Knowledge of a variety of measurement beacons, SDKs, APIs including Google Analytics, Amplitude, Braze, Stripe, email service providers
A commitment to building secure, resilient, fault-tolerant architectures, with clear documentation and procedures in place for support
A focus on accuracy and detail as you build, ensuring data pipelines produce clear, predictable results
Understanding of the typical metrics a subscription and advertising-supported business needs to measure success
Experience with Client techniques as applied to behavioral segmentation or anomaly identification is a definite plus
Familiarity using developer tools that increase productivity and facilitate the development of resilient code (eg. Docker, CircleCI, Serverless) is a plus

•

Last updated on Oct 20, 2023

About the company

Q

q7jdnweteg6zes8mjy5lwkm5dla351024b1f7vzciy9t0hkhiuir1f9sbczdpcx8

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