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GCP Python_Saloni_EMIDS

Roles & Responsibilities

  • Proficiency in Python and PySpark.
  • Strong SQL skills and experience with data warehousing and data lakes.
  • Understanding of data models and Big Data ecosystems like Hive and Hadoop.
  • Preferred knowledge of GCP services, cloud warehouses, distributed file systems, and DevOps practices.

Requirements:

  • Develop and maintain data pipelines using Python/PySpark.
  • Manage data warehousing and data lake solutions.
  • Work with Big Data tools like Hive and Hadoop.
  • Implement CI/CD and DevOps practices for data projects.

Job description

Experience 4+Yrs
Location remote(Bangalore,Noida,Hyderbad)
Notice periodImmediate to 15 days


JD Below:

• Mandatory skills:
o PythonPyspark
o Strong in SQL
o Data warehousing & Data LAke
o Understanding of Data model
o Demonstrated knowledge in the Big Data ecosystem – Hive, Hadoop etc.

• Preferred skills:
o GCP services understanding
o Cloud Warehouses like BigQuery (preferred), Amazon Redshift, Snowflake etc.
o Distributed file systems like GCS, S3, HDFS etc
o PySpark
o Airflow Cloud Composer
o CICD and DevOps
Job responsibilites

• Mandatory skills:
o PythonPyspark
o Strong in SQL
o Data warehousing & Data LAke
o Understanding of Data model
o Demonstrated knowledge in the Big Data ecosystem – Hive, Hadoop etc.

• Preferred skills:
o GCP services understanding
o Cloud Warehouses like BigQuery (preferred), Amazon Redshift, Snowflake etc.
o Distributed file systems like GCS, S3, HDFS etc
o PySpark
o Airflow Cloud Composer
o CICD and DevOps

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