Google Cloud Data Engineer
A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you!
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As the Google Cloud Data Engineer, you will be responsible for transformation and modernization of enterprise data solutions on Google Cloud Platform (GCP) integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of Google Cloud and 3rd party technologies for deploying on Google Cloud.
As part of our Accenture Google Business Group in Cloud First, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
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Here's what you need:
Minimum 3 years direct experience in Enterprise Data Warehouse technologies
Minimum 3 years in a customer-facing role working with enterprise clients
Minimum 3 years hands on experience on GCP Cloud data implementation projects experience (Dataflow, Cloud Composer, Big Query, Cloud Storage etc.)
Minimum 3 years experience with developing software code in one or more languages such as Java, Python and SQL.
Minimum 3 years experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Netezza, Teradata, Tableau, Qlik or MicroStrategy.
Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate Degree, must have an additional minimum 6 years work experience.
Preferred: Google Professional Data Engineer Certification
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