Description

Minimum Mandatory Skills: Informatica Power Center, Unix, Oracle / strong SQL, Python

  • Design and implement data pipelines to extract, transform, and load data from various sources into a data warehouse
  • Develop and maintain data models and schemas to support business intelligence and analytics applications
  • Optimize data storage and retrieval systems for performance and scalability
  • Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms
  • Implement data governance policies and procedures to ensure data quality, security, and compliance
  • Develop and maintain ETL workflows using tools
  • Design and implement data integration solutions for third-party applications and services
  • Conduct performance tuning and optimization of database systems and queries
  • Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering.
  • Building and managing DevOps & DataOps CI/CD pipelines and automated deployments
  • Prepare technical design documents and SLA agreements

 

SkillsetCandidate Self Rating (5)Candidate Write-up
Informatica  
Unix  
Python  
Power Center  

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Education

Any Graduate