Channel Factory

We help brands find the right content, context and audience on YouTube at the right price.

Senior Data Engineer – Media Buying Engineering Team

Data EngineerData EngineerFull TimeRemoteTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

89 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishApacheAWSDistributed SystemsEC2Py SparkPythonRabbit MQRDBMSSQL

Job Description

• Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well-designed and maintainable solutions • Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines • Create data governance policies and develop data models and schemas optimized for analytical workloads • Influence the direction for key infrastructure and framework choices for data pipelining and data management • Manage complex initiatives by setting project priorities, deadlines, and deliverables • Collaborate effectively with distributed team members across multiple time zones, including offshore development teams • Build relationships and foster team cohesion across geographical and cultural boundaries

Job Requirements

  • 3+ years of experience in data engineering or related roles, with a proven track record of building and maintaining scalable data pipelines in production
  • Experience designing and developing large-scale, efficient batch and streaming data processing pipelines
  • Strong SQL proficiency, with experience in both transactional RDBMS systems and distributed systems
  • Expert-level proficiency in Python
  • In-depth experience with distributed data technologies: RabbitMQ, Celery, Pyspark
  • In-depth experience with AWS data services (ECS, EC2, Glue, OpenSearch, RDS)
  • Experience with modern Data Lakehouse technologies such as: Apache Iceberg, S3 Tables, StarRocks
  • Knowledge of digital advertising is a plus
  • Experience integrating data science-based models and algorithms.
  • This role may involve occasional travel for in-person collaboration, meetings, trainings, etc.

Benefits

  • Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations
  • Competitive salary
  • Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)
  • Cell phone and Wifi Reimbursement
  • Bill Spend Stipend
  • Gym Stipend
  • Work-life flexibility – we value your contributions above all

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