Senior Data Engineer

About Tredence: Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions on a scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential. Primary Roles and Responsibilities: ● Developing Modern Data Warehouse solutions using Databricks and Azure Cloud Stack ● Ability to provide solutions that are forward-thinking in data engineering and analytics space ● Collaborate with DW/BI leads to understand new ETL pipeline development requirements. ● Triage issues to find gaps in existing pipelines and fix the issues ● Work with businesses to understand the need in reporting layer and develop data model to fulfill reporting needs ● Help joiner team members to resolve issues and technical challenges. ● Drive technical discussion with client architect and team members ● Orchestrate the data pipelines in scheduler via Airflow