12 days old

Google Cloud Big Data Engineer

Chicago, IL 60684


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 and 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.





As part of our
Intelligent Software Engineering practice, 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 growing network of technology experts who are
highly collaborative taking on todays 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!





Big Data (GCP) Data Engineers will
be responsible for architecting transformation and modernization of enterprise
data solutions on GCP cloud integrating native GCP services and 3rd party data
technologies.





A solid experience and understanding of considerations for large
scale architecting, 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 GCP and 3rd party technologies for deploying on GCP cloud.





Key
responsibilities may include:





Work with implementation
teams from concept to operations, providing deep technical subject matter
expertise for successfully deploying large scale data solutions in the
enterprise, using modern data/analytics technologies on premise and cloud


Experience in building
solution architecture, provision infrastructure, secure and reliable
data-centric services and application in GCP


Work with data team to
efficiently use Hadoop/Cloud infrastructure to analyze data, build models, and
generate reports/visualizations


Integrate massive
datasets from multiple data sources for data modelling


Implement methods for
automation of all parts of the predictive pipeline to minimize labor in
development and production


Formulate business
problems as technical data problems while ensuring key business drivers are
captured in collaboration with product management


Knowledge in machine
learning algorithms especially in recommender systems


Extracting, Loading,
Transforming, cleaning, and validating data


Designing pipelines and
architectures for data processing


Creating and maintaining
machine learning and statistical models


Querying datasets,
visualizing query results and creating reports





Basic Qualifications:





Minimum 3 year of designing, building and
operationalizing large-scale enterprise data solutions and applications using
one or more of GCP data and analytics services in combination with 3rd parties
- Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, Cloud BigQuery,
Cloud PubSub, Cloud Functions, etc.


Minimum 1 year of hands-on experience analyzing,
re-architecting and re-platforming on-premise data warehouses to data platforms
on GCP cloud using GCP/3rd party services


Minimum 1 year of designing and building
production data pipelines from ingestion to consumption within a hybrid big
data architecture, using Java, Python, Scala etc.


Minimum 1 year of architecting and implementing
next generation data and analytics platforms on GCP cloud


Minimum 1 year of designing and implementing
data engineering, ingestion and curation functions on GCP cloud using GCP
native or custom programming


Minimum 1 year of experience in performing
detail assessments of current state data platforms and creating an appropriate
transition path to GCP cloud


Hands-on GCP experience with a minimum of 1
solution designed and implemented at production scale


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



+ Ability to meet travel
requirements (100% Monday-Thursday)



Preferred
Qualifications:


Experience in architecting large-scale data solutions, performing architectural
assessments, crafting architectural options and analysis, finalizing preferred
solution alternative working with IT and Business stakeholders


Experience designing and implementing data ingestion solutions on GCP using GCP
native services or with 3rd parties such as Talend, Informatica


Experience architecting and designing data lakes on GCP cloud serving analytics
and BI application integrations


Experience in designing and optimizing data models on GCP cloud using GCP data
stores such as BigQuery, BigTable


Experience integrating GCP or 3rd party KMS, HSM with GCP data services for
building secure data solutions


Experience introducing and operationalizing self-service data preparation tools
(e.g. Trifacta, Paxata) on GCP


Experience architecting and implementing metadata management on GCP


Experience Architecting and
implem enting data governance and security for data platforms on GCP


Experience
writing complex SQL queries, stored procedures, etc


Google Cloud Platform
certification is a plus





Professional Skill
Requirements:



Excellent communication
(written and oral) and interpersonal skills



Proven ability to work
creatively and analytically in a problem-solving environment.


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.


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.





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.





About Accenture:


Accenture is a leading global
professional services company, providing a broad range of services and solutions
in strategy, consulting, digital, technology and operations. Combining
unmatched experience and specialized skills across more than 40 industries and
all business functions underpinned by the worlds largest delivery network
Accenture works at the intersection of business and technology to help clients
improve their performance and create sustainable value for their stakeholders.
With more than 465,000 people serving clients in more than 120 countries,
Accenture drives innovation to improve the way the world works and lives. Visit
us at www.accenture.com.




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Posted: 2020-01-13 Expires: 2020-02-12

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Google Cloud Big Data Engineer

Accenture
Chicago, IL 60684

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