About this role
Staff Data Engineer - Dev360
Responsibilities
- Architect, design, and build fault-tolerant, scalable big-data platforms that support high-velocity, high-volume data use cases.
- Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams to guarantee the platform aligns with current requirements and maintains extensibility for future functionalities.
- Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, guaranteeing efficient integration throughout diverse systems and potentially disparate business units.
- Data and Artificial Intelligence Enablement: Collaborate with domain event producers and product teams to determine, curate, and administer datasets essential for sophisticated analytics, encompassing Generative AI and Machine Learning, and deriving actionable customer intelligence.
- Execute code reviews, promote coding best practices, and establish processes for unit testing, continuous integration/continuous delivery, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
- Demonstrate leadership and cultivate an environment of ongoing education, mentoring junior team members in technical proficiency and collaborative problem resolution.
Qualifications
- 8+ years of experience working with product analytics, web analytics or other similar data analytics domains
- Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash)
- Strong programming skills in Python or Java/Scala
- Experienced in engineering data pipelines and workflow orchestration tools, Architecting E2E big data and ana