Data Engineer (Python, SQL, AWS)-- SHADC5784192

Interview:

Onsite.

Qualification:

• Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.

• Extensive experience in relational databases like Oracle or Snowflake

• Development experience using Python

• Experience in Data warehousing, data modelling and creation of data marts.

• Experience in developing data applications in Cloud (AWS/Azure/Google Cloud)

• Experience with ETL technologies (Informatica/Snaplogic etc)

• Experience with Business Intelligence and Dashboards is a plus

• Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus

• Experience in Agile methodologies (Kanban and SCRUM) is a plus

Must have skills:

What are the top three MUST have soft skills and technical skills (experience candidates must have coming in the door)?

1\.) Python (need to know Python language to extract critical elements and re-build in new ecosystem)

2\.) SQL

3\.) AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem)

4\.) Data Warehouse experience

Client need someone who can:

• Understand complex legacy databases (Oracle)
• Write strong SQL for transformation and optimization
• Use Python to build data pipelines and ETL logic
• Move data into AWS \+ Snowflake
• Build scalable data warehouse solutions
• Support enterprise-wide Data Lake architecture

This is a

migration \+ modernization role, a senior engineer who can rebuild legacy Oracle-based data systems into AWS \+ Snowflake using strong Python \+ SQL \+ Data Warehousing expertise.