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GCP Python_Saloni_EMIDS

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

4+ years of experience in Python/Pyspark and strong SQL skills., Knowledge of data warehousing, data lakes, and data modeling is essential., Familiarity with the Big Data ecosystem, including Hive and Hadoop, is required., Understanding of GCP services and cloud warehouses like BigQuery is preferred..

Key responsibilities:

  • Develop and maintain data pipelines using Python and PySpark.
  • Work with SQL to manage and query data effectively.
  • Collaborate on data warehousing and data lake projects.
  • Utilize GCP services and distributed file systems for data management.

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CodersBrain SME https://www.codersbrain.com/
201 - 500 Employees
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Job description

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


JD Below:

"•       Mandatory skills:
o       Python/Pyspark
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       CI/CD and DevOps
"                                        
Job responsibilites

"•       Mandatory skills:
o       Python/Pyspark
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       CI/CD and DevOps
"                                        

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data Warehouse ArchitecturesSQL (Programming Language)Big DataPython (Programming Language)Data ModelingFile SystemsApache AirflowApache SparkGoogle Cloud ComposerAmazon RedshiftApache HadoopGoogle ServicesBigQuerySnowflake (Data Warehouse)CI/CDAmazon S3DevOpsApache HiveData Lakes
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