Hadoop Developer
Job in
Wilson, Wilson County, North Carolina, 27893, USA
Listed on 2026-06-27
Listing for:
Incedo
Full Time
position Listed on 2026-06-27
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Scientist
Job Description & How to Apply Below
Incedo () (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.
Position: Hadoop Consultant
Location: Raleigh, NC
Duration: Contract/Full Time
- 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/Map Reduce, Spark/SparkR, Lucene/Elastic Search, 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, No
SQL, 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.
- 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 Elastic Search
All your information will be kept confidential according to EEO guidelines.
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