Senior Data Engineer -
Core
Design and scale enterprise-grade data platforms supporting high-volume analytics and reporting for a Fortune 500 product company.
Role type
Senior Data Engineer
Builds
Resilient data pipelines, robust data infrastructure, and dashboards for product, marketing, and business performance tracking.
Domain
Enterprise data platforms, analytics, and reporting
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Apache Spark, PySpark, SQL, dimensional modeling, Snowflake, Hive, Apache Airflow, ETL orchestration, BI tools (Power BI, Tableau, Qlik), Git, Jupyter
Preferred skills
Looker, Presto, cloud-based data infrastructure services, large-scale real-time data streaming systems
Responsibilities
Architect scalable data and analytics solutions; Design and optimize batch and real-time data pipelines; Drive development of robust data infrastructure; Execute ETL workflows and data transformation processes; Automate cloud infrastructure, monitoring, and observability; Develop and maintain pipelines to improve deployment quality and velocity; Analyze complex datasets to identify trends and optimization opportunities; Deliver dashboards and reporting solutions; Define and maintain key metrics, KPIs, and data models; Present technical insights to stakeholders; Enable self-service analytics through well-designed dashboards.
Seniority
Senior, hands-on IC
