- Deliver large-scale programs that integrate processes with technology to help clients achieve high performance.
- Design, implement and deploy custom applications on Hadoop.
- Implementation of complete Big Data solutions, including data acquisition, storage, transformation, and analysis.
- Design, implement and deploy ETL to load data into Hadoop.
- Minimum 1 year of building and coding applications using at least two Hadoop components – MapReduce, HDFS, Hbase, Pig, Hive, Spark, Scoop, Flume, etc
- Minimum 1 year coding one of the following: Python, Pig programming, Hadoop Streaming, HiveQL
- Minimum 1 year understanding of data modelling & data pipeline design: iterative data pipeline development from raw, curated, integrated to published data, with fit for use data modelling on Hadoop and NoSQL platforms
- Minimum 1 year of experience implementing large scale cloud data solutions using Cloud Service Providers: AWS data services (e.g. EMR, Redshift, GLUE) or Azure (Data Lake Store/Analytics, SQL Data Warehouse) or Google Cloud Platform Google Cloud (Big Data: Big Query, Big Insights)
- Minimum 1 year of experience delivering an operational Big Data solution using one or more of the following technologies: Hadoop, HortonWorks, Cloudera, Cassandra
- Minimum 1 year of experience throughout the SDLC of a Hadoop implementation technologies including HortonWorks, Cloudera, Hive, Pig, MapReduce
- Minimum 1 year of experience throughout the SDLC of a HortonWorks, Cloudera, Cassandra / Hbase implementation
- Minimum of a Bachelor’s Degree or 3 years IT/Programming experience
- Minimum 1 year of experience developing REST web services
- Industry experience (financial services, resources, healthcare, government, products, communications, high tech)
- Experience leading teams
- Machine Learning tools, interfaces & Libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc.
- Experience with other tools, databases and Apache projects: Google BigQuery, Presto, Drill, Kylin, OpenTSDB, Spark Streaming
- Enterprise data integration, BI and analytics platforms: Informatica, Talend, InfoSphere, SAS, RevoR, QlikView, Qlik Sense, Tableau, Spotfire, D3.js
- Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink
- Client facing skills: ability to build trusted relationships with client stakeholders and act as a trusted adviser
- Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
- You’ll make a difference for some pretty impressive clients. Our Analytics practice serves many of the Fortune Global 100 on high-profile projects.
- Opportunities to learn daily through training, assignments and collaboration with experts across the company.
- Access to leading-edge technology.
- Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and Benefits
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