Adelaide
Adelaide
Adelaide एक मार्केटिंग और विज्ञापन प्रौद्योगिकी कंपनी है, जो विभिन्न चैनलों वाले अभियानों में मीडिया की गुणवत्ता मापने पर केंद्रित है। इसका प्लेटफ़ॉर्म AU स्कोर सहित ध्यान-संबंधी मेट्रिक्स का उपयोग करता है, ताकि विज्ञापनदाता और मीडिया स्वामी समझ सकें कि किसी प्लेसमेंट द्वारा दर्शकों का ध्यान आकर्षित करने और अभियान की प्रभावशीलता में योगदान देने की कितनी संभावना है। ये अंतर्दृष्टियाँ विभिन्न चैनलों में मीडिया निवेश और अनुकूलन से जुड़े अधिक सूचित निर्णय लेने में सहायता करती हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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