Sr Data Engineer

About The Company:

iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink's expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

What makes iLink's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements We are seeking a highly skilled Data Engineer with 5-7 years of experience to develop, sustain, troubleshoot, and monitor data pipelines. The ideal candidate should be proficient in Python and SQL, with expertise in databases including Redshift, Aurora, and MySQL. This role requires a strong analytical mindset, problem-solving skills, and the ability to work collaboratively in a dynamic environment.

Key Responsibilities:

• Develop, optimize, and maintain data pipelines to ensure smooth data flow.
  
• Troubleshoot and resolve issues related to data pipelines and database performance.
  
• Monitor data systems to ensure reliability, accuracy, and efficiency.
  
• Collaborate with cross-functional teams to enhance data-driven decision-making.
  

Technical Skills Required:

• Programming: Proficient in Python and SQL
  
• Databases: Strong knowledge of Redshift, Aurora, and MySQL
  
• Data Engineering: Experience in building and maintaining scalable data solutions
  

Benefits

• Competitive salaries
  
• Medical Insurance
  
• Employee Referral Bonuses
  
• Performance Based Bonuses
  
• Flexible Work Options & Fun Culture
  
• Robust Learning & Development Programs
  
• In-House Technology Training
  

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