Description

You will develop and manage data pipelines within Hadoop and GCP environments.

Responsibilities

• Extract data from various sources using Sqoop and other ingestion methods.
• Query and analyze large datasets stored on Hadoop HDFS.
• Build data processing applications using Hive and Spark.
• Translate technical requirements into functional data workflows.

Required Skills

• 6+ years of industry work experience.
• 4+ years of relevant experience in data engineering roles.
• Proficiency in SQL and Spark (mandatory).
• Experience with Hive and Hadoop HDFS.
• Strong data analysis skills for querying large-scale datasets.
• Hands-on experience with GCP or Hadoop ecosystems.
• Knowledge of Sqoop for data movement.
• Degree in any graduate field.

Preferred Skills

• Experience building applications with Google Cloud Platform frameworks like Dataflow, Dataproc, or Pub/Sub.

Key Skills

Education

Any Graduate