Data Engineer

Job Details

 

• Work Type: Hybrid
• Employment Type: Full time
• Experience: 4+ years
• Working Days: Sunday-Thursday. Option to switch to Mon – Fri can be discussed after 2 months of onboarding and integration.
  
   

Job Summary

In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines and leveraging AWS services to manage and process large volumes of data efficiently.

Key Responsibilities

• Lead the design and implementation of ETL processes for data integration and transformation.
• Work extensively with AWS services including Lambda, Glue, Redshift, and QuickSight.
• Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
• Ensure data quality, integrity, and scalability across various data systems.
• Optimize and maintain data pipelines and processes to meet performance standards.
  
   

Required Skills

• Extensive experience with ETL processes and data integration.
• Proficiency in AWS services such as Lambda, Glue, Redshift, and QuickSight.
• Strong communication skills with the ability to explain technical solutions.
• Ability to work independently and manage complex data engineering projects.
  
   

Instructions to Apply

Email us at [email protected] with a subject 

Data Engineer

. Remember to attach our applicant form, and your resume/CV.

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Disclaimer

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