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Adelaide
Adelaide
51 – 200 Angajați
Sponsor pentru viza H1BMarketingMediaPublicitate
Adelaide este o companie de tehnologie pentru marketing și publicitate, axată pe măsurarea calității media în campanii omnichannel. Platforma sa utilizează indicatori de atenție, inclusiv scorul AU, pentru a ajuta advertiserii și proprietarii de media să înțeleagă cât de probabil este ca un spațiu publicitar să capteze atenția publicului și să contribuie la eficiența campaniei. Aceste informații sprijină decizii mai bine fundamentate privind investițiile în media și optimizarea campaniilor pe mai multe canale.
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Locurile de muncă ale companiei

Lead Data Engineer – New York (Remote)

Lead the data engineering function behind Adelaide’s AU advertising attention metric. Own the pipelines, infrastructure, and analytics integrations supporting its SaaS platform.

USStatele Unite ale AmericiiNYNew York
88.525 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer de date
AirflowAmazon RedshiftAWSDockerPandasPostgresPythonScalaSparkSQL

Descriere

  • Lead Adelaide’s data engineering team and take ownership of the pipelines powering its AU advertising metric
  • Design, optimize, and improve the reliability of Adelaide’s data pipelines and underlying infrastructure
  • Manage one Data Engineer
  • Organize and maintain data from internal and external sources across the SaaS analytics dashboard and connected platforms
  • Help maintain strong availability across the SaaS analytics dashboard and connected platforms
  • Build, deploy, and operate dependable data pipelines in partnership with data engineers and data scientists
  • Improve and maintain existing data pipelines and system integrations
  • Tune data stores for efficient, high-speed querying that supports technology and reporting requirements
  • Safeguard the quality, dependability, and security of the data infrastructure

Cerințe

  • Bachelor’s degree in Computer Science
  • Proficiency with Python, Amazon Redshift, PostgreSQL, SQL, Spark, Scala, and Airflow
  • Practical experience using Pandas and Docker
  • Familiarity with AWS services including ECS, S3, Kinesis, Redshift, and EMR
  • Solid command of data structures and algorithms
  • Experience applying machine learning
  • Commitment to delivering dependable, high-quality data solutions
  • Background in ad tech, measurement, or verification is optional
  • Experience building high-throughput or near-real-time data pipelines is optional
  • Experience with Snowflake or Looker is optional

Beneficii

  • Connect with a wide network of investors and advisors who support team and individual success
  • Receive guidance from executives with extensive adtech and media experience
  • Participate in recurring internal knowledge-sharing sessions
  • Use an education budget for continued professional development
  • Medical, dental, and vision coverage
  • Paid time off
  • Parental leave
  • Employee development and wellness stipend
  • Holiday break
  • Volunteer time off
  • Quarterly performance-based bonus
  • Stock options
  • 401(k) retirement plan
  • Remote-first work environment
  • Access to the New York office
  • Use available WeWork locations

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