22 days old

Data Engineering Senior Manager

Los Alamitos, CA 90721





We
are:





Applied
Intelligence, the people who love using data to tell a story. Were also the
worlds largest team of data scientists, data engineers, and experts in machine
learning and AI. A great day for us? Solving big problems using the latest
tech, serious brain power, and deep knowledge of just about every industry. We
believe a mix of data, analytics, automation, and responsible AI can do almost
anythingspark digital metamorphoses, widen the range of what humans can
do, and breathe life into smart products and services. Want to join our crew of
sharp analytical minds? Visit
us here to find out more about Applied Intelligence.








You Are:


A Spark Data Engineering prosomeone who thrives in a team setting where you can use your
creative and analytical prowess to obliterate problems. Youre passionate about
digital technology, and you take pride in making a tangible difference. You have communication and people
skills in spades, along with strong leadership chops. Complex issues dont faze
you thanks to your razor-sharp critical thinking skills. Working in an
information systems environment makes you more than happy.








The
Work:



+ Consult as part of
a team that is in charge of building end-to-end digital transformation
capabilities and lead fast moving development teams using Agile
methodologies.


+ Design and build Data
Engineering and real-time analytics solutions using industry standard
technologies and work with data architects to make sure solutions align
with technology direction.


+ Lead by example,
role-modeling best practices for unit testing, CI/CD, performance testing,
capacity planning, documentation, monitoring, alerting and incident
response.


+ Keep everyone from
individual contributors to top executives in the loop about progress,
communicating across organizations and levels. If critical issues
block progress, refer them up the chain of command to be resolved in a
timely manner.


+ Optimize NLU model
by implementing NLP systems, performing intent classification and entity
extraction and user testing.


+ Develop and
maintain digital conversational flows, dialog research, Architect,
Prototype and Test Dialogue Management system and Natural Language
Generator Connect to data source (e.g. multiple xml documents) and query
database.


+ Pinpoint and
clarify key issues that need action, lead the response and articulate
results clearly in actionable form.


+ Show a strong
aptitude for carrying out solutions and translating objectives into a
scalable solution that meets end customers needs within deadlines.


+ Collaborate with
research teams working on a variety of deep learning and NLP problems.






Here's what you need:



+ Bachelor's
degree in Computer Science, Engineering, Technical Science or 12
years of experience in programming and building large scale data/analytics
solutions operating in production environments.


+ Minimum 7 years of
expertise in designing, implementing large scale data pipelines for data
curation, feature engineering and machine learning, using Spark in
combination with pySpark, Java, Scala or Python; either on premise or on
Cloud (AWS, Google or Azure).


+ Minimum 7 years
of designing and building performant data tiers (or refactoring existing
ones), that supports scaled AI and Analytics, using different Cloud native
data stores on AWS, Azure and Google (Redshift, S3, Big Query, SQLDW
etc.) as well as using NoSQL and Graph Stores.


+ Minimum 7 year of
designing and building streaming data ingestion, analysis and processing
pipelines using Kafka, Kafka Streams, Spark Streaming and similar cloud
native technologies.



Bonus points if:






+ Domain expertise in the Gas Industry (Strongly
preferred)




+ Experience
designing and building secured and governed Big Data ETL pipelines, using
Talend or Informatica technologies; for data curation and analysis of large-scale
production deployed solutions.


+ Experience
implementing smart data preparation tools such as Palate, Trifacta, Tamr
for enhancing analytics solutions.


+ Minimum 1 year of
building Business Data Catalogs or Data Marketplaces for powering business
analytics using technologies such as Alation, Collibra, Informatica or
custom solutions.






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.





Equal Employment Opportunity Statement





Accenture is an Equal Opportunity Employer. We believe that
no one should be discriminated against because of their differences, such as
age, disability, ethnicity, gender, gender identity and expression, religion or
sexual orientation. Our rich diversity makes us more innovative, more
competitive and more creative, which helps us better serve our clients and our
communities.





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.





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





For details, view a copy of the Accenture Equal Opportunity and
Affirmative Action Policy Statement





Requesting An Accommodation





Accenture is committed to providing equal employment
opportunities for persons with disabilities or religious observances, including
reasonable accommodation when needed. If you are hired by Accenture and require
accommodation to perform the essential functions of your role, you will be
asked to participate in our reasonable accommodation process. Accommodations
made to facilitate the recruiting process are not a guarantee of future or
continued accommodations once hired.





If you would like to be considered for employment
opportunities with Accenture and have accommodation needs for a disability or
religious observance, please call us toll free at 1 (877) 889-9009, send us an
email or speak with your recruiter.





Other Employment Statements





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





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





The
Company will not discharge or in any other manner discriminate against
employees or applicants because they have inquired about, discussed, or
disclosed their own pay or the pay of another employee or applicant.
Additionally, employees who have access to the compensation information of
other employees or applicants as a part of their essential job functions cannot
disclose the pay of other employees or applicants to individuals who do not
otherwise have access to compensation information, unless the disclosure is (a)
in response to a formal complaint or charge, (b) in furtherance of an
investigation, proceeding, hearing, or action, including an investigation
conducted by the employer, or (c) consistent with the Company's legal duty to
furnish information.








Categories

Posted: 2020-12-25 Expires: 2021-01-24

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Data Engineering Senior Manager

Accenture
Los Alamitos, CA 90721

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