LP
AWS Data Engineer
LinkedIn Recruiter Post
Hiring an AWS Data Engineer for a contract position in Toronto. Requires 7 - 10 years of experience in data engineering with strong expertise in AWS, Python, SQL, PySpark, and Airflow.
About the role
- Senior Data Engineer automating data processes for client projects in a marketing analytics agency. Collaborating with diverse teams to enhance data measurement and performance.
Responsibilities
- Automate reporting pipelines with speed, accuracy, and scalability
- Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process
- Write and optimize SQL views, Python/R scripts, and API connectors as needed
- Continually optimize data cleaning and anomaly detection processes
- Help manage and advance GCP infrastructure, particularly with BigQuery and GCP integrations
- Enforce naming conventions, dataset groupings, versioning, and access standards
- Maintain rigorous QA practices to ensure clean, reliable, and consistent data
- Continuously seek opportunities to improve processes and infrastructure
- Proactively catch and investigate issues, finding root causes and going beyond surface solutions
- Work with analysts to anticipate needs and ensure data is easy to find and use
- Demonstrate situational awareness, knowing when to escalate, push or pull back, or execute
- Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress
- Help shape the roadmap for our data architecture and processes
- Identify opportunities to simplify, improve, and standardize workflows
- Occasionally support client conversations with technical expertise
Requirements
- 4+ years of experience in data engineering, devops, data science or similar
- Experience in marketing/advertising agency preferred
- Fluency in SQL and Python
- Experience in R, C/C++, C#, Java, Go, or Rust preferred
- Deep experience with GCP/GBQ or similar cloud platforms and data warehouses
- Knowledge of ad tech and understanding of core media and site platforms (CM360, TTD, Google Ads, GA4, Adobe Analytics)
- Experience with dashboard tools such as Tableau, Looker, PowerBI preferred
- Strong ability to work independently and problem solve
- Adaptable to rapidly changing needs, situations, and priorities
- Results-driven, adaptable and resourceful
- Experience in ownership of data quality and availability within projects
- History of balancing speed and accuracy in client-driven environments.
Benefits
- Competitive Rates
- Flexible work to promote work-life integration
- Remote-first or hybrid flexibility
- Asynchronous work
- Supportive Operations Team
- 40 hours a week
- Opportunity to collaborate with top industry talent!
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