Data Engineer

Key Responsibilities:

• Write clean efficient code to develop functional data applications and build reusable libraries.
  
• Deploy and manage production environments taking ownership of the infrastructure.
  
• Take responsibility for client deliverables ensuring they are met on time.
  
• Contribute to architecture and implementation decisions.
  
• Participate in the entire application lifecycle including defining requirements designing coding debugging and maintaining production systems.
  

Experience Required:

• 2 years of experience developing complex applications using modern programming languages.
  
• Bachelors or Masters degree in Computer Science or a related field.
  
• 2 years of experience working with Apache Spark (or Hadoop) for largescale data processing.
  
• Strong problemsolving ss and a willingness to learn new technologies and frameworks.
  
• Collaborative and teamoriented with good communication ss.
  

Preferred Qualifications:

• Pion for data ytics and data engineering.
  
• Ability to work effectively with ambiguous or undefined problems thinking abstractly when needed.
  
• Experience with AWS and cloudbased services.
  
• Familiarity with distributed systems relational databases and NoSQL storage solutions.
  

Experience: 1-3 years of experience in business development, sales, or a related role within the IT staffing or IT services industry. Education: Bachelor s degree in Business Administration, Marketing, IT, or a related field is preferred. Ss: Strong communication and interpersonal ss. Excellent cold calling and lead generation abilities. Ability to build and maintain relationships with clients. Proficient in using CRM software and sales tools. Strong ytical and problem-solving ss. Self-motivated with a results-oriented mindset. Ability to work independently and as part of a team. Preferred Ss Familiarity with the latest trends and technologies in IT. Experience using LinkedIn Sales Navigator and other lead generation tools. Knowledge of the recruitment lifecycle and IT staffing processes.