Data Engineer-Data Platforms-AWS

2 - 6 years

12 - 16 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


  • Design, implement, and manage large-scale data processing systems using Big Data Technologies such as Hadoop, Apache Spark, and Hive.
  • Develop and manage our database infrastructure based on Relational Database Management Systems (RDBMS), with strong expertise in SQL.
  • Utilize scheduling tools like Airflow, Control M, or shell scripting to automate data pipelines and workflows.
  • Write efficient code in Python and/or Scala for data manipulation and processing tasks.
  • Leverage AWS services including S3, Redshift, and EMR to create scalable, cost-effective data storage and processing solutions

  • Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise
  • Proficiency in Big Data Technologies, including Hadoop, Apache Spark, and Hive.
  • Strong understanding of AWS services, particularly S3, Redshift, and EMR.
  • Deep expertise in RDBMS and SQL, with a proven track record in database management and query optimization.
  • Experience using scheduling tools such as Airflow, Control M, or shell scripting.
  • Practical experience in Python and/or Scala programming languages

  • Preferred technical and professional experience
  • Knowledge of Core Java (1.8 preferred) is highly desired Excellent communication skills and a willing attitude towards learning.
  • Solid experience in Linux and shell scripting. Experience with PySpark or Spark is nice to haveFamiliarity with DevOps tools including Bamboo, JIRA, Git, Confluence, and Bitbucket is nice to have
  • Experience in data modelling, data quality assurance, and load assurance is a nice-to-have
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