Trigyn has a contractual opportunity for a Senior Hadoop Data Engineer. This resource will be working Remotely.
Job Description:
We are looking for an experienced Senior Hadoop Data Engineer with 5-10 years of hands-on experience in Big Data to develop and maintain scalable data processing solutions on the Hadoop platform.
Keys are:
Hands-on experience with Hadoop ecosystem
Experience with Sqoop or Kafka
Communication skills
Key Responsibilities
Design, build and maintain robust data pipelines and ETL workflows using Hadoop technologies.
Develop and optimize large-scale data processing jobs using Apache Spark.
Manage and process structured data in HDFS, Hive.
Ensure data quality, reliability, and performance tuning across data pipelines.
Work closely with analytics, reporting, and downstream application teams.
Support batch and near real-time ingestion using Sqoop or Kafka.