Hiring || Data Modeling With GCP Professionals - Hyd/Pune

Data Modeling Professional

• The ideal candidate should possess at least 6 years of relevant experience in data modeling with proficiency in SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) along with GCP.
  

• Develop and configure data pipelines across various platforms and technologies.
  
• Write complex SQL queries for data analysis on databases such as SQL Server, Oracle, and HIVE.
  
• Create solutions to support AI/ML models and generative AI.
  
• Work independently on specialized assignments within project deliverables.
  
• Provide solutions and tools to enhance engineering efficiencies.
  
• Design processes, systems, and operational models for end-to-end execution of data pipelines.
  

• Experience with GCP, particularly Airflow, Dataproc, and Big Query, is advantageous.
  

• Strong problem-solving and analytical abilities.
  
• Excellent communication and presentation skills.
  
• Ability to deliver high-quality materials against tight deadlines.
  
• Effective under pressure with rapidly changing priorities.
  

• Minimum 6 years of experience in data modeling with SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools).
  
• Proficiency in writing complex SQL queries for data analysis.
  
• Experience with GCP, particularly Airflow, Dataproc, and Big Query, is an advantage.
  
• Strong problem-solving and analytical abilities.
  
• Excellent communication and presentation skills.
  
• Ability to work effectively under pressure with rapidly changing priorities.