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AI Data Engineer - ManagerSan Francisco StaffingUnited States

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AI Data Engineer - Manager

San Francisco Staffing
  • US
    United States
  • US
    United States

About

Oracle Data And Analytics Manager
At PwC, our people in business application consulting specialize in consulting services for a variety of business applications, helping clients optimize operational efficiency. These individuals analyze client needs, implement software solutions, and provide training and support for seamless integration and utilization of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilize Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modeling, data visualization, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: analyze and identify the linkages and interactions between the component parts of an entire system, take ownership of projects, ensuring their successful planning, budgeting, execution, and completion, partner with team leadership to ensure collective ownership of quality, timelines, and deliverables, develop skills outside your comfort zone, and encourage others to do the same, effectively mentor others, use the review of work as an opportunity to deepen the expertise of team members, address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, and uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements. As part of the Business Application Consulting team, you will design and implement innovative data architecture strategies that meet current and future business needs. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while driving project success and maintaining exceptional standards. This role offers the chance to enhance your leadership style, motivate and inspire others, and embrace technology and innovation to deliver remarkable results. Responsibilities include fostering a culture of innovation and technology adoption within the team, analyzing complex data systems to identify improvement opportunities, developing strategic plans that support team and client goals, and encouraging collaboration and open communication among team members. What you must have includes a bachelor's degree and 7 years of experience. What sets you apart includes preferred fields of study such as Computer Science, Computer and Information Science, Information Technology, and Management Information Systems, and certifications such as AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, Oracle Cloud Infrastructure OCI, GCP Data Engineer, Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, and Snowflake Databricks Data Engineer Associate. Demonstrating proficiency in data architecture strategies, developing and documenting data models and architecture guidelines, working with stakeholders to translate data requirements, building and optimizing ETL/ELT pipelines for data processing, implementing data integration solutions using cloud services, monitoring and troubleshooting data workflows for quality, and knowledge of data governance and security practices are also important. Learn more about how we work at PwC.
  • United States

Languages

  • English
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