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 communication with clients
- Experience in Data Engineering
- Experience in Relational and Non relational databases
- Experience in Google Cloud and Azure, ETL/ELT, Lake, Data modern Stack
- Experience with Python Spark, Big data, Big data pipeline development, Git, SAP HANA, SAP Data Services, SAP BODS.
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data ingestion pipelinesrelational databasesnon-relational databasesGoogle CloudAzureETLELTPythonSparkBig data
Soft skills
advanced English communicationcollaborationdocumentation