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Big Data Engineer-Hadoop, PySpark, Hive @ Tata Consultancy

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Tata Consultancy  Big Data Engineer-Hadoop, PySpark, Hive

Job Description


Role: Big Data Engineer (Hadoop, Spark, Scala)

Desired Experience Range: 5-10 Years

Location: Chennai/Bangalore/ Pune

Desired Competencies (Technical/Behavioral Competency)

Must Have-

  • Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks.
  • Expertise in SQL and NoSQL databases
  • Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams.
  • In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake for building and managing data warehouses.
  • Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or Informatica.

Good to have-

  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services.
  • Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
  • Experience with version control systems such as Git for code management and collaboration.
  • Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Pune

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Keyskills:   Pyspark Hive Hadoop SQL Big Data Spark Python

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