Description

  1. Proficiency in programming languages such as Python, Java, or Scala: You should be proficient in at least one programming language and have experience working with data manipulation libraries and frameworks such as Pandas, NumPy, or Spark.
  2. Experience with big data technologies: You should have experience working with big data technologies such as Hadoop, Hive, or Cassandra.
  3. Knowledge of database design and SQL: You should have experience with database design and development and be proficient in SQL.
  4. Familiarity with data warehousing concepts: You should be familiar with data warehousing concepts such as ETL, data modeling, and schema design.
  5. Familiarity with cloud platforms such as AWS or Azure: You should be familiar with cloud platforms and have experience working with cloud-based data storage and processing systems.
  6. Strong problem-solving and analytical skills: You should be able to analyze complex data problems and develop solutions that meet the client's requirements.

Key Skills
Education

Any Graduate

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