For this position, you will have:
- Undergraduate degree in data or computer science, IT, statistics, or mathematics preferred
- Minimum of 2 years of experience as a Data Engineer in a Databricks environment
- Specific expertise in Databricks Delta Lake, notebooks, and clusters
- Data Vault Modeling experience
- Knowledge of big data technologies such as Hadoop, Spark, and Kafka
- Strong understanding of relational data structures, theories, principles, and practices
- Proficiency in Python and SQL programming languages
- Strong understanding of data modeling, algorithms, and data transformation strategies for data science consumption
- Experience with performance metric monitoring and improvement
- Experience analyzing and specifying technical and business requirements
- Ability to create consistent requirements documentation in both technical and user-friendly language
- Excellent critical thinking skills and understanding of relationships between data and business intelligence
- Strong communication skills with technical and non-technical audiences
- Ability to work remotely and collaborate with geographically distributed team
In this position, you will:
- Support BPM's culture of data, representing the firm's approach to data management, stewardship, lineage, architecture, collection, storage, and utilization for delivering analytic results
- Deliver, maintain, and build trusted business relationships that contribute to BPM's data culture
- Stay current with the latest technologies and methodologies with a pragmatic mindset
- Participate in technology roadmaps and maintain data pipeline and tool documentation
- Build, maintain, and govern data pipelines in an Azure environment with best of breed technology
- Develop pipelines to the data Lakehouse ensuring scalability, reliability, security, and usability for insights and decision-making
- Develop, deploy, and support high-quality, fault-tolerant data pipelines
- Build infrastructure for optimal extraction, loading, and transformation of data from various sources
- Support architecture for observing, cataloging, and governing data
- Build and optimize ELT functionality using Python, dbt, and SQL
- Monitor and troubleshoot ELT processes to ensure accuracy and reliability
- Implement development best practices including technical design reviews, test plans, peer code reviews, and documentation
- Implement data governance and access controls to ensure data security and compliance
- Collaborate with security to implement encryption, authentication, and authorization mechanisms
- Monitor and audit data access to maintain data privacy and integrity
- Collaborate with cross-functional stakeholders and IT to deliver meaningful outcomes
- Profile data sources and understand data relationships to support analytics
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What We Do
BPM LLP is one of the 50 largest public accounting and advisory firms in the country. With more than 800 professionals along the West Coast – as well as offices abroad – we help clients succeed around the world. We offer a cross-functional team approach that gives clients direct access to the best and most qualified resources.
With full-service capabilities in audit, tax and advisory services, we possess in-depth knowledge of the transactional industry—its key processes, challenges surrounding growth and performance, regulatory compliance and governance—and the many other complex accounting and reporting issues you face. Our collective knowledge representing a diverse client base allows us to serve as experts in over a dozen industries.
In 2021, we are proud to be named by Forbes “Best Tax and Accounting Firms” and #22 on Vault’s “Accounting 50” ranking! We invite you to learn more about us, visit bpmcpa.com



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