Google Cloud Platform (GCP) And Data Engineer - Assistant Vice President
Deutsche BankAbout the role
Job Description:
Job Title Google Cloud Platform (GCP) and Data Engineer
Corporate Title Assistant Vice President
Location Cary, NC
Who we are
In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.
Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.
Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.
Overview
Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, environmental, social, and governance (ESG) Risk Mitigation as well as Corporate Sustainability.
As Climate Change throws new Challenges and opportunities, the Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid the Bank’s goals.
As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in multiple areas predominantly in Cloud / Hybrid Architecture.
As part of this Role, we are seeking a highly experienced GCP Data & Business Intelligence (BI) Subject Matter Expert (SME) to join our growing team. In this senior role, you will be a trusted advisor, providing technical expertise and strategic direction across all things data and BI on GCP.
What We Offer You
A diverse and inclusive environment that embraces change, innovation, and collaboration
A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days: A commitment to Corporate Social Responsibility
Employee Resource Groups support an inclusive workplace for everyone and promote community engagement: Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values
Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
Educational resources, matching gift, and volunteer programs
What You’ll Do
Provide in-depth knowledge of GCP data services (Big Query, Cloud Storage, Dataflow, etc.)
Design and optimize complex data pipelines for efficient data ingestion, transformation, and analysis, in addition to design and develop complex data models, leveraging expertise in relational and dimensional modeling techniques
Partner with product management group and other business stakeholders to gather requirements, translate them into technical specifications, and design effective BI solutions (Tableau, Looker), while collaborating with data engineers, analysts, and business stakeholders to understand data requirements and drive data-driven decision-making
Advocate for best practices in data governance, security, and compliance on GCP
Mentor and guide junior team members on GCP technologies and BI best practices and foster a culture of innovation and continuous improvement within the data and BI domain
Track emerging trends and innovations in GCP, BI tools, and data analytics methodologies, and proactively research and recommend new technologies and solutions to enhance our data, BI capabilities
Skills You’ll Need
Bachelor’s degree or equivalent required
Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.)
Strong understanding of data governance, security, and compliance principles on GCP
Experience designing and implementing complex data pipelines, with T SQL or PL SQL or Ansi SQL, and leading BI tools and platforms (Tableau, Looker)
In-depth knowledge of relational and dimensional modeling techniques fo
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