About the Role
Role - Big Data and Hadoop Developers /Leads
Experience - 5 to 15 years
Joining Location - PAN INDIA
Interview location - Hyderabad
Job description
Technical/Functional Skills
•Hadoop Ecosystem: In-depth knowledge of Hadoop, HDFS, MapReduce, Hive, Pig, HBase, and Spark.
•Programming: Strong programming skills in Java, Python, or Scala.
•Big Data Technologies: Experience with big data technologies, including NoSQL databases, data warehousing, and ETL tools.
•Data Processing: Experience with data processing frameworks, including Hadoop, Spark, and Flink.
•Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark
•Communication: Excellent communication and collaboration skills.
•Cloud Experience: Experience with cloud-based big data platforms, such as AWS EMR, Azure HDInsight, or Google Cloud Dataproc.
•Machine Learning: Experience with machine learning and deep learning frameworks, such as TensorFlow, PyTo...
Experience - 5 to 15 years
Joining Location - PAN INDIA
Interview location - Hyderabad
Job description
Technical/Functional Skills
•Hadoop Ecosystem: In-depth knowledge of Hadoop, HDFS, MapReduce, Hive, Pig, HBase, and Spark.
•Programming: Strong programming skills in Java, Python, or Scala.
•Big Data Technologies: Experience with big data technologies, including NoSQL databases, data warehousing, and ETL tools.
•Data Processing: Experience with data processing frameworks, including Hadoop, Spark, and Flink.
•Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark
•Communication: Excellent communication and collaboration skills.
•Cloud Experience: Experience with cloud-based big data platforms, such as AWS EMR, Azure HDInsight, or Google Cloud Dataproc.
•Machine Learning: Experience with machine learning and deep learning frameworks, such as TensorFlow, PyTo...
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