Adswerve is looking for a Senior Data Engineer 2 to help clients build insightful marketing strategies by solving complex data challenges using tools like Google BigQuery, Data Studio, and Python Notebooks.
Requirements
- Advanced skills with SQL (for pulling data), Python (for writing pipelines) and JavaScript (for accessing data from websites)
- Advanced experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
- Advanced familiarity with HTML, CSS and JavaScript / Modern JavaScript Frameworks (React)
- Proven ability to solve complex problems with on-time delivery, the highest quality, and creativity in the approach
- Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites, as well as installing advanced JavaScript data analytics tools
- Collaborate with Google Engineers to design scalable, resilient, and maintainable cloud-based solutions
- Work closely with Data Scientists to execute strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
Responsibilities
- Develop and manage applications for analytics pipelines, including data visualization, cleaning, and access.
- Audit existing datasets for accuracy, reliability and consistency
- Work with senior team members to identify data models and algorithms to apply to unique client problems
- Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
- Coordinate with internal and client data engineering teams to implement models and supervise outcomes
- Develop various Big Data capabilities in the cloud for our clients, aligning them with business strategies and requirements
- Build data pipelines from various digital marketing platforms (like Google Marketing Platform, Facebook, and Instagram) to data warehouses.
Other
- Requires a unique blend of analytical skills, client-facing communication, and a passion for data purity, big data analysis, and machine learning.
- The ideal candidate should have a background in data engineering, a desire to mentor others, and the ability to solve complex data challenges for clients.
- Manage technical projects, overseeing scope, schedule, resources, and progress to ensure timely and on-budget delivery.
- Provide mentorship and guidance to junior team members, ensuring quality work and adherence to best practices.
- Translate solutions and complicated concepts to all audiences, from executive level members to marketing teams
