11 days old

Google Cloud Data Engineer

Kansas City, MO 64106


Are
you ready to step up to the New and
take your technology expertise to the next level?





Join
Accenture and help transform leading
organizations and communities around the world. The sheer scale of our
capabilities and client engagements, in conjunction with the way we
collaborate, operate and deliver value, provides an unparalleled opportunity to
grow and advance. Choose Accenture and make delivering innovative work
part of your extraordinary career.





People
in our Client Delivery & Operations
career track drive delivery and capability excellence through the design,
development and/ or delivery of a solution, service, capability or offering.
They grow into delivery-focused roles, and can progress within their current
role, laterally or upward. We partner with our clients to help transform their
data into an Appreciating Business Asset.





As
part of our Data & AI , 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 thats 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 highly collaborative and growing network of technology and
data experts, who are taking on todays biggest, most complex business challenges
using the latest data and analytics technologies. We will nurture your
talent in an inclusive culture that values diversity. You will have an
opportunity to work in roles such as Data Scientist, Data Engineer, or Chief
Data Officer covering all aspects of Data including Data Management, Data
Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your
career in Technology at Accenture!





Basic Qualification



+ Bachelor's degree
or equivalent (minimum 12 years) work experience. If Associate Degree, must
have an additional minimum 6 years work experience.


+ Possess Google Professional Data Engineer Certification.


+ Minimum 3 years direct experience in
Enterprise Data Warehouse technologies


+ Minimum 3 years in a customer facing role
working with enterprise clients


+ Hands on GCP Cloud data implementation
projects experience (Dataflow, Cloud Composer, Big Query, Cloud Storage etc.)


+ Experience with developing software code
in one or more languages such as Java, Python and SQL.


+ 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.


Preferred Skills






+ Data migration and data processing experience on the Google
Cloud stack, specifically:





o BigQuery


o Cloud
DataFlow


o Cloud
DataProc


o Cloud
Storage


o Cloud
DataPrep


o Cloud PubSub


o Cloud
Composer


o Cloud
BigTable


o DEV Ops


o Github








+ Previous Consulting or client service delivery
experience on Google Cloud Platform (GCP).


+ Experience in and understanding of data and
information management, especially in Big Data trends.


+ Familiarity with the Technology stack available in
the industry for data cataloging, data ingestion, capture, processing and
curation: Kafka, StreamSets, Attunity,
Collibra, Map Reduce, Hadoop, Spark, Flume, Hive, Impala, SparkSQL









Professional Skill Requirements





All
of our professionals receive comprehensive training covering business acumen,
technical and professional skills development. You'll also have opportunities
to hone your functional skills and expertise in an area of specialization. We
offer a variety of formal and informal training programs at every level to help
you acquire and build specialized skills faster. Learning takes place both on
the job and through formal training conducted online, in the classroom, or in
collaboration with teammates. The sheer variety of work we do, and the
experience it offers, provide an unbeatable platform from which to build a
career.





Applicants
for employment in the US must have work authorization that does not now or in
the future require sponsorship of a visa for employment authorization in the
United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any
other non-immigrant status).





Candidates
who are currently employed by a client of Accenture or an affiliated Accenture
business may not be eligible for consideration.





Accenture
is a Federal Contractor and an EEO and Affirmative Action Employer of
Females/Minorities/Veterans/Individuals with Disabilities.





Equal
Employment Opportunity





All
employment decisions shall be made without regard to age, race, creed, color,
religion, sex, national origin, ancestry, disability status, veteran status,
sexual orientation, gender identity or expression, genetic information, marital
status, citizenship status or any other basis as protected by federal, state,
or local law.





Job
candidates will not be obligated to disclose sealed or expunged records of
conviction or arrest as part of the hiring process.





Accenture
is committed to providing veteran employment opportunities to our service men
and women.


Categories

Posted: 2021-01-08 Expires: 2021-02-07

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Google Cloud Data Engineer

Accenture
Kansas City, MO 64106

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