25 days old

Data Engineer Consultant

New York, NY 10176


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 or Cloud 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 real-time analytics solutions using
industry standard technologies and work with data architects to make sure Cloud
Data 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.


+ Develop Cloud Native architecture, data supply chain,
Architect, Prototype and Test end to end data supply chain, use cases that
drive business value, and provide architecture support to the data
scientists.


+ 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 Data Scientist, Security or Research
teams working on a variety of AI/ML solutions.










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 2+ 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 1 year 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 1 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:



+ AWS Solution Architect or Azure Architect or GCP
architect certification.


+ Minimum 1 year
of designing and building secured and governed Big Data ETL pipelines,
using Talend or Informatica technologies; for data curation and analysis
of large 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.



Important information


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 Engineer Consultant

Accenture
New York, NY 10176

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