Primary Skills : Python-Expert, SQL / PLSQL-Expert, Data Modeling-Advanced, ETL-Intermediate, Azure Databricks-Intermediate
Contract Type : W2
Duration : 12+ Months
Location : San Jose, CA #LI-Hybrid
Pay Range : $55 - $60 per hour. on W2
#LP
Job Summary :
The Senior Financial Data Engineer will leverage their expertise in Python, SQL / PLSQL, and Azure Databricks to develop analytics products that provide insights into financial metrics and customer journeys. They will be responsible for technical problem solving, developing data-driven solutions, and implementing high-quality projects on time. This role requires a hands-on approach to technology, the ability to work independently, and strong communication skills to enable tools for a self-service financial analyst community.
Key Responsibilities :
Develop models for decision-making processes and refine existing models for increased flexibility and alignment with business needs.
Participate in project modeling, discovery, technical design / reviews, and meetings, providing technical guidance to influence positive business outcomes.
Design, develop, and migrate data analytics solutions, sourcing data from various databases including SAP HANA and SQL Server.
Design, develop, and test ETL solutions, including modeling data warehouse metadata and automating data loading processes.
Consult and collaborate with analytics reporting for various business areas including sales, finance, and subscriptions.
Must-Have Skills :
Strong expertise in Python and SQL / PLSQL.
Proven experience with data modeling and performance optimization.
Deep knowledge in Azure Databricks and experience with data warehouses.
Industry Experience :
Experience in the financial domain or related analytical field is highly desirable, given the nature of the data and insights involved.
This role is ideal for a candidate who holds a Bachelor’s or Master's degree in Computer Science, Information Science, Information Technology, Engineering, or a related field, combined with at least 5 years of relevant experience.
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Senior Data Engineer • San Jose, CA, United States