Hadoop Developer(Java)
Job Title
Java_Spark Developer
Relevant Experience
(in Yrs)
6-8 years
Technical/Functional Skills
Must have Experience:
- At least 8+ years of experience architecting and implementing complex ETL pipelines preferably with Spark toolset.
- At least 4+ years of experience with Java particularly within the data space
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Good experience writing complex SQL and ETL processes
- Excellent coding and design skills, particularly in Java/Scala and Python and or Java.
- Experience working with large data volumes, including processing, transforming and transporting large-scale data
- Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required.
- Big data related AWS technologies like HIVE, Presto, Hadoop required.
- AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data
- Excellent working knowledge of Apache Hadoop, Apache Spark, Kafka, Scala, Python etc.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Good understanding & usage of algorithms and data structures
- Good Experience building reusable frameworks.
- Experience working in an Agile Team environment.
- AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data
- Excellent communication skills both verbal and written
Experience Required
4 - 6 Years
Roles & Responsibilities
Role : Spark Developer(Java)
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