Data Engineer - SQL/ETL/Terraform (2-10 yrs)

Job Profile : Data Engineer

Location : WFO/WFH (Both Available)

Specialization : IT/Cloud/Data Management

Job Description :

- Completed Bachelors degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible

- 2+ years of relevant engineering experience

- Azure certification is preferred.

- Experience in DevOps tools and automation

- Experience with Azure Data Factory, Azure Data Bricks, Key Vault and Storage Accounts.

- Experience working with a Data Engineering team and understanding of Data Engineering practices.

- Experience with DBT/DLT and working with Medallion Architecture is preferred

- Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space

- Experience with bug tracking and task management software such as JIRA, etc.

- Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.

- Experience with CI/CD principles and best practices including Azure DevOps and Repos.

- Experience with ARM Templates, Terraform.

- Building and setting up new development tools and infrastructure

- Understanding the needs of stakeholders and conveying this to developers

- Working on ways to automate and improve development and release processes

- Testing and examining code written by others and analyzing results

- Ensuring that systems are safe and secure against cyber security threats

- Identifying technical problems and developing software updates and fixes

- Working with software developers and software engineers to ensure that development follows established processes and works as intended

- Planning out projects and being involved in project management decisions

- Deploy updates and fixes

- Build tools to reduce occurrences of errors and improve customer experience

- Develop software to integrate with internal back-end systems