1+ months

Life Sciences - Data Engineering 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. (https://www.accenture.com/us-en/services/applied-intelligence/applied-intelligence-index)

You Are:

A Data Science 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:

+ Excellent understanding of Life Sciences Industry/Domain

+ Working with one of the sub-industries within Life Sciences Pharmaceutical, Biotechnology, Medical Technology, Generics, Distribution, and Consumer Healthcare

+ Understanding of the data sets within these sub-industries example: commercial, point of sales, clinical, claims data etc.

+ Deliver data and BI/analytics driven engagements

+ Creating solutions around one or more of the below areas

+ Analytics strategy (roadmap, maturity assessment)

+ Commercial Analytics

+ Patient Analytics

+ Payer or Provider Analytics

+ Digital Marketing Analytics

+ Analytics enablement (dash-boarding, tool development)

+ People and project management

+ Actively engage in knowledge learning, sharing and storing. Steep learning curve and adapting to new client situations quickly and work under a competitive environment

+ Excellent verbal and written communication skills

+ Ability to influence and lead others

+ Adhere to the firms standards on ethics, code of conduct and value

Heres What You Need:

+ A Bachelors degree in Computer Science, Engineering, or Technical Science, or equivalent (minimum 12 years) experience programming and building large-scale data or analytics solutions operating in production environments

+ Minimum of 2 years experience designing and implementing large-scale data pipelines for data curation, feature engineering, and machine learning, using Spark in combination with pySpark, Java, Scala, or Python

+ Minimum of 1 years' experience 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 (such as Redshift, S3, Big Query, or SQLDW), as well as using NoSQL and Graph Stores

+ Minimum of 1 years' experience designing and building streaming data ingestion, analysis, and processing pipelines using Kafka, Kafka Streams, Spark Streaming, and similar cloud-native technologies

+ Minimum of 1 years' experience in performance engineering, profiling and debugging very large Big Data and machine learning production solutions on Spark and Cloud-native technologies

Bonus Points if:

+ You have experience 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

+ You have experience designing and implementing large-scale data warehousing and analytics solutions working with RDBMS (such as Oracle, Teradata, DB2, Netezza, SAS), and grasping the challenges and limitations of these traditional solutions

+ Youve got experience working with Databricks, SageMaker, and other Cloud-native tools

+ Youre familiar with implementing smart data preparation tools such as Palate, Trifacta, or Tamr for enhancing analytics solutions.

+ You have experience building Business Data Catalogs or Data Marketplaces for powering business analytics using technologies such as Alation, Collibra, Informatica, or custom solutions

Important information


For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.

Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.

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 (https://www.accenture.com/\_acnmedia/Careers/PDF-9/Accenture-Annual-Policy-Statement-Regarding-EEO-2018-Applicant.pdf) 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 (https://www.accenture.com/us-en/contact-us) or speak with your recruiter. Other Employment Statements
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.

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.

Unless expressly indicated, this role is not open in the state of Colorado.


Posted: 2021-03-05 Expires: 2021-05-12

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Life Sciences - Data Engineering Consultant

New York, NY 10176

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