Data Engineering Senior Manager

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. 

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