About the role
Joining Location - PAN INDIA
Interview location - Bengaluru , Chennai , Hyderabad, Kolkata, Pune , Delhi and Vizag
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, PyTorch, or Scikit-learn. •Certifications: Relevant certifications, such as Cloudera Certified Professional (CCP) or Hortonworks Certified Developer (HCD) Qualifications: BACHELOR OF TECHNOLOGY