INEX
51 - 200 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đïž Construction
Consulting âą Healthcare âą Construction
INEX is a Brazilian technology company that builds custom digital solutions and provides IT services to other businesses. For over 15 years it has offered software development (software factory), multidisciplinary development squads, business intelligence, technology architecture, data analysis and artificial intelligence, IT staffing/hunting, and IT operations and support. INEX focuses on improving client performance across industries such as finance, insurance, health, telecom, education, construction and retail by delivering end-to-end product development, agile methodologies, and managed technology services.
Mid-Level Data Engineer
Job not on LinkedIn
đ„ 13 hours ago
đ§đ· Brazil â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đ» Ghost score 10%
đŁïžđ§đ·đ”đč Portuguese Required
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INEX
51 - 200 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đïž Construction
Consulting âą Healthcare âą Construction
INEX is a Brazilian technology company that builds custom digital solutions and provides IT services to other businesses. For over 15 years it has offered software development (software factory), multidisciplinary development squads, business intelligence, technology architecture, data analysis and artificial intelligence, IT staffing/hunting, and IT operations and support. INEX focuses on improving client performance across industries such as finance, insurance, health, telecom, education, construction and retail by delivering end-to-end product development, agile methodologies, and managed technology services.
đ Description
âą Develop, maintain, and enhance data solutions âą Ensure the availability, quality, security, and reliability of information used by business teams âą Build and support data pipelines âą Develop and maintain ETL/ELT processes and integrations âą Collaborate with Engineering, Analytics, Data Science, BI, and business teams
đŻ Requirements
âą Professional experience as a Data Engineer âą Advanced SQL skills âą Experience developing ETL/ELT processes and data pipelines âą Knowledge of relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL âą Knowledge of NoSQL databases is a plus âą Experience processing and handling large volumes of data âą Knowledge of Git/GitHub/GitLab âą Knowledge of Data Lake, Data Warehouse, and Lakehouse concepts âą Experience with cloud environments, preferably AWS, Azure, or GCP
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