Data Engineer - T-SQL & SSIS
Posted Updated 4
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JOB POSITION EXCLUSIVE FOR ARGENTINA
We are looking for a Data Engineer (T-SQL & SSIS) with sound experience in the development of data integration solutions to support business needs.
Responsibilities:
- Develop and maintain SQL code and SSIS packages.
- Analyze data and solve new and existing business issues.
- Reviewing query performance and optimizing code.
- Provide production level support.
- Fully document all processes that are being created.
Requirements
- 4+ years of experience in data engineering or data integration roles
- Sound experience on Microsoft on-premise data integration stack (SSIS, SQL, SQL Server)
- Experience providing production support for data integration solutions, including troubleshooting live data issues and supporting SSIS jobs in production
- Experience optimizing SQL query performance, including tuning slow queries
- Fluent in English, able to communicate both with the team and client
- Reside in Argentina
- Skilled in Power BI is a plus
- Knowledge of the insurance industry is a plus
Skills
As published by workable · 9 questions · 3 written answers
Basics
First name, Last name, Email, Resume, Cover letter
Pick from a list (6)
- Do you possess sound experience on Microsoft on-premise data integration stack (SSIS, SQL, SQL Server)?
- Are you fluent in English, able to communicate both with the team and client?
- Do you currently reside in Argentina?
- What is your proficiency level in English?
- Are you ok with working in European time-zone?
- Are you currently residing in Argentina?
Written answers (3)
- How many years of hands-on experience do you have in data engineering or data integration roles, and could you share some examples of the projects you've worked on?
- Can you describe your experience providing production support for data integration solutions? What types of issues have you resolved, and how did you support SSIS jobs in a live environment?
- Could you tell us about your experience optimizing SQL query performance? What approaches have you used to tune slow queries, and what results did you achieve?