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Tata Consultancy Services Linkedin · Posted 24d ago

Big Data Developer

India

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Indexed description

Greetings from TCS!!!

TCS is hiring Bigdata Hadoop Developer/Leads

Experience: 4-15 years

Location: Any



Job Title: Big Data and Hadoop Developers /Leads


Job Summary: An experienced Big Data and Hadoop Developer / Lead to design, develop, and maintain large-scale data processing solutions. The ideal candidate should have a strong background in Hadoop ecosystem, big data technologies, and programming languages like Java, Python, or Scala.


Responsibilities:

• Design and Development: Design, develop, and maintain Hadoop applications, including data ingestion, processing, and storage.

• Data Processing: Develop and optimize Hadoop MapReduce jobs, Hive queries, and Pig scripts for data processing and analysis.

• Data Management: Manage and maintain Hadoop clusters, including configuration, monitoring, and troubleshooting.

• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.

• Innovation: Stay up to date with industry trends, new technologies, and best practices in big data and Hadoop.


Required 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.
  • Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.
  • 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.



Preferred 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)

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