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Accenture Life Sciences - Data Engineering Consultant in Boston, Massachusetts

We Are:Applied Intelligence, the people who love using data to tell a story. We’re also the world’s 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 anything—spark 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 Data Science pro—someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re 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 don’t 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 firm’s standards on ethics, code of conduct and value

Here’s What You Need:- A Bachelor’s 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, experience in performance engineering, profiling and debugging very large Big Data and machine learning production solutions on Spark and Cloud-native technologiesBonus 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, familiar with implementing smart data preparation tools such as Palate, Trifacta, or Tamr for enhancing analytics solutions.- You’ve got experience working with Databricks, SageMaker, and other Cloud-native tools and building Business Data Catalogs or Data Marketplaces for powering business analytics using technologies such as Alation, Collibra, Informatica, or custom solutions

As required by the Colorado Equal Pay Transparency Act, Accenture provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $84,300 - $125,999 and information on benefits offered is here. (https://www.accenture.com/us-en/careers/your-future-rewards-benefits)

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

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.

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.

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