Firework
Firework
Firework — бөлшек сауда компаниялары мен электрондық коммерция брендтеріне интерактивті цифрлық сауда тәжірибесін жасауға көмектесетін бейне сауда компаниясы. Оның платформасы жасанды интеллектіні AI виртуалды көмекшілері, цифрлық шоурумдар, жеке виртуалды сауда және сатып алуға болатын бейнелер сияқты бейне құралдарымен біріктіреді. Сондай-ақ Firework жылдам әрі қауіпсіз жеткізуге және деректер құпиялылығының жоғары стандарттарына арналған жаһандық бейне инфрақұрылымын ұсынып, мазмұны ауқымды брендтерге оны клиенттермен өзара әрекеттесумен және онлайн сатылымдармен байланыстыруға мүмкіндік береді.

Senior Data Engineer at Firework (Hybrid, California)

Senior Data Engineer responsible for scalable data infrastructure, machine learning pipelines, and analytics systems at Firework. The role supports the company’s AI, video commerce, and product initiatives.

Сипаттама

  • Architect and deliver backend and machine learning data infrastructure spanning event ingestion, stream processing, warehousing, pipelines, visualization, analytics, and applications.
  • Develop analytics tools that generate actionable insights into customer acquisition, operational efficiency, and business performance.
  • Build and operate distributed ETL, feature engineering, and model execution pipelines.
  • Create data products that enable analytics and data science teams to improve Firework’s product.
  • Maintain secure data separation across national boundaries using multiple data centers and AWS regions.
  • Partner with data and analytics specialists to strengthen data platforms and end-to-end processing.
  • Investigate technical issues, assess performance, balance workloads, and participate in code reviews.
  • Mentor data engineers, offer technical direction, share proven practices, and support career growth.
  • Provide technical leadership, shape architecture decisions, and help define engineering standards.

Талаптар

  • At least five years of professional experience in data engineering, software engineering, or a related discipline, including substantial work with production data or machine learning systems.
  • Advanced proficiency in Python and SQL, including complex queries, data transformation, and performance tuning.
  • Experience developing and operating large-scale ETL or ELT pipelines and distributed processing systems.
  • Practical experience with modern data warehouses such as Snowflake or BigQuery, or open table formats such as Iceberg.
  • Experience using Apache Spark, Flink, or comparable data processing frameworks.
  • Working knowledge of orchestration platforms such as Apache Airflow, Dagster, or Prefect.
  • Experience with cloud infrastructure, preferably AWS or Google Cloud Platform.
  • Strong foundations in data modeling, database design, and data architecture.
  • Experience establishing data quality, observability, and reliability practices in production.
  • Strong analytical and problem-solving ability, with a track record of independently leading complex technical work.
  • Clear communication and collaboration skills across technical and non-technical teams.
  • Leadership potential and interest in progressing toward people management through mentoring, team building, and technical strategy.

Артықшылықтар

  • Stock options.
  • Compensation may be adjusted according to work location, skills, experience, market conditions, and internal equity.

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