Tech Stack
AzureCloudETLPythonSpark
About the role
- Develop and maintain data ingestion pipelines.
- Integrate data from various sources (APIs, relational databases, files, etc.).
- Collaborate with business and analytics teams to understand data requirements.
- Ensure quality, security, and governance of the ingested data.
- Document processes and best practices in data engineering.
Requirements
- Advanced English level for client communication
- Experience in Data Engineering
- Experience with relational and non-relational databases
- Experience with Google Cloud and Azure, ETL/ELT, data lake and modern data stack
- Experience with Python, Spark, big data, big data pipeline development, Git, SAP HANA, SAP Data Services, SAP BODS.
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) and TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and Responsible Parenting course
- Partnerships with online learning platforms
- Language learning platform
- And many more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data ingestiondata engineeringrelational databasesnon-relational databasesGoogle CloudAzureETLELTPythonSpark
Soft skills
advanced English communicationcollaborationdocumentation