- Collaborate with stakeholders to gather and execute on requirements and construct ETL pipelines for data processing
- Devote attention to providing actionable insights, robust metrics, and continuous improvement in quality, processes, visualization strategy, and agility
- Participate in ongoing reviews of requirements, roadmaps, and contribute to the development of optimization strategies
- Effectively communicate findings to team members and stakeholders
- Translate feedback and action items from meetings into actionable tickets and team notes
- Ensure data integrity during the release of new product features through thorough testing and monitoring alongside test groups pre and post-launch
Required Technical Skills
- Proficient in building, troubleshooting, and optimizing ETL pipelines
- Strong expertise in SQL, including a deep understanding of SQL fundamentals and the ability to write and interpret complex queries
- Experience with Python to automate ETL jobs
- Data visualization skills
- Familiarity with AWS, Gitlab, Kibana, YAML, Spark
- Demonstrate curiosity and proactivity in investigating issues and opportunities, encouraging collaboration and knowledge sharing within the team
- Challenge norms in a positive manner to promote conversation and collaboration for better solutions
- Approach complex issues with an open mind, iterating towards the simplest and most effective solution
- Effectively manage time and expectations, communicating complex concepts in a way that engages non-technical stakeholders.
We are on the lookout for a skilled Data Engineer to join a team being assembled from the ground up. As part of an analytics team, you will collaborate closely with stakeholders, including a Tableau Developer, to support customer-facing applications like a News & Sports app, agent-facing desktop portal, and intranet portal. In this role, you'll be responsible for designing and maintaining ETL pipelines, ensuring seamless data flow and integration for the analytics team. The goal is to enhance both internal and external customer experiences through detailed analysis, cross-team collaboration, and the delivery of reliable data solutions.