Hadoop developer Position Available In Mecklenburg, North Carolina

Hadoop developer
Required skills:
Hadoop/Spark Strong hands-on experience with the Hadoop ecosystem and real-time/batch processing using Spark.
Kafka Expertise in building and managing streaming data pipelines.
Python Proficient in writing efficient data processing and transformation scripts.
NoSQL Databases Experience with MongoDB, HBase, or SingleStore for handling large-scale, unstructured data.
UNIX / Shell Scripting Ability to automate tasks and manage systems efficiently in a Linux/Unix environment.

Day-to-Day Responsibilities:

Design, develop, and implement scalable Big Data solutions using Hadoop, Spark, and Kafka.
Collaborate with business stakeholders to gather requirements and conceptualize technical solutions.
Build real-time and batch data pipelines to support large-scale data processing and analytics.
Optimize data workflows using tools like Hive, Sqoop, Impala, and Oozie.
Perform performance benchmarking and resolve system bottlenecks.
Develop Python and Shell scripts for data transformation, automation, and orchestration.
Integrate NoSQL databases into analytics workflows for diverse data storage needs.
Participate in architecture discussions and define Big Data strategies aligned with business goals.
Work with offshore/onshore teams to develop, test, and deploy solutions within delivery timelines.
Mentor junior team members and stay current on emerging Big Data technologies and trends.

PayRate Range:

$60/HR-$65/HR
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

91127026

Position Id:

23593