Business Services & Consulting • all cities, ID 14
Professional level senior who works with (Data).Responsibilities: Professional responsible for designing, developing, and sustaining data engineering solutions, ensuring scalable and reliable data ingestion, processing, and availability.Works with system integration, especially SAP, and construction of pipelines in a Data Lake environment, supporting analysis and Power BI reports.Configure and manage data extraction from SAP systems using techniques such as CDC (Change Data Capture) and native connectors (ODP, OData, CDS Views).Develop, orchestrate, and monitor data ingestion and transformation pipelines using Azure Data Factory (ADF).
Implement data transformation processes using SQL and/or Spark (when applicable to the environment).Structure and maintain data in Data Lake, organized in Bronze, Silver, and Gold layers, following good Data Lakehouse architecture practices.Ensure data quality, integrity, and consistency throughout the pipeline.Prepare reliable and optimized datasets for consumption in Power BI.Implement good practices of code versioning and pipelines using GitHub.Monitor and optimize performance of data loads and transformations.Document data flows, pipelines, and data architecture.Work in conjunction with BI and business teams to meet analytical demands.
Required Experience: Data SAP integration: CDC (Change Data Capture) ODP (Operational Data Provisioning) OData CDS Views; Practical experience with: Azure Data Factory (ADF) Data Lake; Strong SQL mastery; Experience in data modeling and transformation; Knowledge of layered data architecture (Bronze, Silver, Gold); Experience with GitHub (code versioning); Knowledge of data formats such as Parquet or similar; Experience with data preparation for Power BI.
Preferred Knowledge: Distributed processing knowledge (Spark or equivalent); Languages such as Python; Experience with data quality and governance tools; Knowledge of dimensional modeling (star schema); Experience with pipeline monitoring; Agile methodologies (Scrum/Kanban); Experience in SAP integration projects with Data Lake; Experience in preparing data for analytics and dashboards; Knowledge of good data governance and quality practices; Experience in large corporate environments.
Behavioral description: We are looking for someone who: Likes to work in a team and is collaborative in their assignments; Has the courage to challenge and go beyond, embracing new growth opportunities; Turns ideas into creative solutions and seeks quality in all their routine; Has problem-solving skills; Is able and comfortable to work independently and manage their own time; Has an interest in dealing with adverse and innovative situations in the technological field. Big enough to deliver – small enough to care. #VempraGFT #VamosVoarJuntos #ProudToBeGFT
With more than 35 years in the market and located in 16 countries, GFT employs more than 12,000 people around the world with 4,000 people in Brazil. Here, diversity, equality, and inclusion are at the center and ensuring a safe working environment for all people is part of who we are. We promote a culture of development and growth based on our pillar of Continuous Scaled Learning because we believe that the intelligent use of technology is the key to success in this digital world.
Multi-benefit card – you choose how and where to use it. Scholarships for Undergraduate, Postgraduate, MBA, and Language courses. Certification incentive programs. Flexible working hours. Competitive salaries. Annual performance review with structured career plan. Possibility of international career. Wellhub and TotalPass. Private Pension. Nursery Aid. Medical Assistance. Dental Assistance. Life Insurance. #VemPraGFT
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Professional level senior who works with (Data).Responsibilities: Professional responsible for designing, developing, and sustaining data engineering solutions, ensuring scalable and reliable data ingestion, processing, and availability.Works with system integration, especially SAP, and construction of pipelines in a Data Lake environment, supporting analysis and Power BI reports.Configure and manage data extraction from SAP systems using techniques such as CDC (Change Data Capture) and native connectors (ODP, OData, CDS Views).Develop, orchestrate, and monitor data ingestion and transformation pipelines using Azure Data Factory (ADF).
Implement data transformation processes using SQL and/or Spark (when applicable to the environment).Structure and maintain data in Data Lake, organized in Bronze, Silver, and Gold layers, following good Data Lakehouse architecture practices.Ensure data quality, integrity, and consistency throughout the pipeline.Prepare reliable and optimized datasets for consumption in Power BI.Implement good practices of code versioning and pipelines using GitHub.Monitor and optimize performance of data loads and transformations.Document data flows, pipelines, and data architecture.Work in conjunction with BI and business teams to meet analytical demands.
Required Experience: Data SAP integration: CDC (Change Data Capture) ODP (Operational Data Provisioning) OData CDS Views; Practical experience with: Azure Data Factory (ADF) Data Lake; Strong SQL mastery; Experience in data modeling and transformation; Knowledge of layered data architecture (Bronze, Silver, Gold); Experience with GitHub (code versioning); Knowledge of data formats such as Parquet or similar; Experience with data preparation for Power BI.
Preferred Knowledge: Distributed processing knowledge (Spark or equivalent); Languages such as Python; Experience with data quality and governance tools; Knowledge of dimensional modeling (star schema); Experience with pipeline monitoring; Agile methodologies (Scrum/Kanban); Experience in SAP integration projects with Data Lake; Experience in preparing data for analytics and dashboards; Knowledge of good data governance and quality practices; Experience in large corporate environments.
Behavioral description: We are looking for someone who: Likes to work in a team and is collaborative in their assignments; Has the courage to challenge and go beyond, embracing new growth opportunities; Turns ideas into creative solutions and seeks quality in all their routine; Has problem-solving skills; Is able and comfortable to work independently and manage their own time; Has an interest in dealing with adverse and innovative situations in the technological field. Big enough to deliver – small enough to care. #VempraGFT #VamosVoarJuntos #ProudToBeGFT
With more than 35 years in the market and located in 16 countries, GFT employs more than 12,000 people around the world with 4,000 people in Brazil. Here, diversity, equality, and inclusion are at the center and ensuring a safe working environment for all people is part of who we are. We promote a culture of development and growth based on our pillar of Continuous Scaled Learning because we believe that the intelligent use of technology is the key to success in this digital world.
Multi-benefit card – you choose how and where to use it. Scholarships for Undergraduate, Postgraduate, MBA, and Language courses. Certification incentive programs. Flexible working hours. Competitive salaries. Annual performance review with structured career plan. Possibility of international career. Wellhub and TotalPass. Private Pension. Nursery Aid. Medical Assistance. Dental Assistance. Life Insurance. #VemPraGFT
Connect with the GFT community! Enter your email and stay informed about events and opportunities that match your interests. Sign up to receive alerts for opportunities
