Responsibilities: 1. Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities 2. Understand requirements and business process knowledge to transform the data in a way thats geared towards the needs of end users 3. Ensure that the data architecture is scalable and maintainable 4. Work with the business in designing and delivering correct, high-quality data solution 5. Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions 6. Prepare documentation for further reference 7. Help team in data migration work 8. Help the team with code reviews Skills: 1. Experience with at least ETL tool (AWS Glue, Step Functions, Lambda) a. Experience with Python and Flash API 2. Knowledge of API development 3. SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structure 4. Knowledge of data modeling principles 5. Organizational skills: time management and planning 6. High attention to detail 7. Passionate about complex data structures and problem-solving 8. Expertise in scripting languages (Python, Bash, Perl, etc.) 9. Handling DMS activity for data migration work. 9. Involved in the code review process 10. Having experience in handling team and client communications,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: IT Operations / EDP / MIS Functional Area: Not Specified Role/Responsibilies: Lead AWS Data Engineer Job in Zimetrics at