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Description

Sr. Data Engineer - Engineering

Description

Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library, YouTube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance. 

Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture. 

Channel Factory is in search of an innovative and dedicated Senior Data Engineer to join our growing team that will lead, build, and maintain scalable data infrastructure that powers our analytics and business intelligence initiatives. This is a high-impact role where you will play a pivotal part in evolving our core data infrastructure.

Responsibilities

• 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
• All other tasks as required.

About Channel Factory

Founded in 2010, Channel Factory is an award-winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest-growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand-safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry-leading performance for a portfolio of clients across all industries.

Requirements

Qualifications

• 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

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