Hadoop Developer

  • Full-time

Company Description

Incedo (http://www.incedoinc.com/) (formerly a part of $4Bn Group) is a technology solutions and services organization headquartered in the Bay Area, USA with workforce across North America, South Africa and India (Gurgaon, Bangalore). We specialize in Data & Analytics and Product Engineering Services, with deep expertise in Financial Services, Life Science and Communication Engineering. Our key focus is on Emerging Technologies and Innovation. Our end-to-end capabilities span across Application Services, Infrastructure and Operations.

Job Description

Position : Hadoop Consultant
Location : Raleigh, NC
Duration:  Contract/Full Time

 

Job Description:

·         Bachelors (IT/Computer Science Preferred); Master's Degree preferred (IT/Computer Science Preferred) or equivalent experience

·         8-10 years of industry experience in analysing source system data and data flows, working with structured and unstructured data, and delivering data and solution architecture designs.

·         Experience with clustered/distributed computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, Graph Databases, Analytics Notebooks like Jupyter, Zeppelin etc

·         Experience building data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing.

·         5+ years of experience as a data engineer/solution architect designing and delivering large scale distributed software systems, preferably in large scale global business- preferably using open source tools and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc

·         Strong hands-on experience of programming with Java, Python, Scala etc.

·         Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics.

·         Knowledge of Data Warehousing best practices; modelling techniques and processes and complex data integration pipelines

·         Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)

·         Excellent technical skills – able to effectively lead a technical team of business intelligence and big data developers as well as data analysts.

   

Optional Skills:

·         Experience in Machine Learning, Deep Learning, Data Science

·         Experience with Cloud architecture & service like AWS, Azure

·         Experience with Graph, Sematic Web, RDF Technologies

·         Experience with Text Analytics using SOLR or ElasticSearch

Additional Information

All your information will be kept confidential according to EEO guidelines.