Jobbeschreibung

Location: Sacramento, CA
80% travel
Full- time
 
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 pro with serious analytical and statistical chops. You know how to take massive amounts of data and find the insights our clients need to help their companies do more.

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Basisqualifikationen

Here's what you need:

  •  Bachelor's degree in Computer Science, Engineering, Technical Science or 3 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).  Experience in working with Databricks, SageMaker and other Cloud native tools is highly desired. 
  • 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: 

  • 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 le production deployed solutions.  
  • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza, SAS) and understanding of the challenges and limitations of these traditional 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 (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. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. 

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

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

 

 

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