Senior Data Engineer

Responsibilities:

•  Able to work on complex data intensive projects.
  
• Good understating of Python, Spark best practices and commonly used modules based on work experience and creating self-contained, reusable, and testable modules and components.
  
• Responsible for prototyping, developing, and troubleshooting software in the user interface or service layers.
  
• Participate in collaborative technical discussions that focus on software user experience, design, architecture, and development.
  
• Keep up to date with technology and apply new knowledge.
  
• Manage Github PRs and act as release manager for some of the Data Engineering projects.
  
• Experience with technical project documentation.
  
• Work with onsite/offshore teams and help the team in clearing blockers.
  
• Ability to follow established coding standards.
  

Requirements

• Bachelor’s degree in computer science or software engineering
  
•  Relational database experience is required.
  
• Reporting experience is required (Jet, Power BI or Tableau).
  
• ETL experience and programming skills in at least one of the following languages:
  

o   Java

o   Python

•  The individual should be from a development background in data engineering.
  
• Experience working with onsite and offshore teams.
  
• Ability to work under minimal supervision, relying on experience, research, and judgment to plan and accomplish assigned goals.
  
• Understanding of data archival strategy.
  
• Strong complex problem solving and troubleshooting skills.
  
• Ability to learn quickly and manage time effectively.
  
•  Proven written and oral communication skills.
  

Benefits

• Employee stock option plan (ESOP)
  
• Medical insurance
  
• Annual Increments
  
• Company gadgets
  
• Competitive salary and benefits package.
  
• Opportunities for professional development and growth.
  
• Collaborative and innovative work environment.
  
• Chance to work on cutting-edge cloud projects.
  
• Supportive and inclusive company culture.