- Create and maintain data pipeline structures with optimized performance.
- Assemble scalable data structures that meet functional and non-functional business requirements.
- Automate manual processes, optimize data deliveries and redesign infrastructure for better performance.
- Build the necessary infrastructure for extracting, transforming and loading data from different sources using SQL and other data languages.
- Build analytical tools that process data generated through data pipelines for customer acquisition, operational excellence and other metrics that generate valuable insights for the business.
- Work with executive stakeholders, Product stakeholders and other areas to provide a data infrastructure that supports their needs related to data and information.
- Document the area's procedures and data flows.
- Implement systems and routines that monitor and guarantee the quality and consistency of our databases.
- Act as Quality Assurance in deliveries of structures developed by other team members
- Bachelor's degree in Computer Engineering, Information Systems or related areas.
- Experience with SQL to work with relational bases and build queries.
- Experience in AWS Redshift.
- Work with different types of Databases.
- Experience with Python to build and maintain existing pipelines.
- Knowledge of Airflow, infrastructure and control of Dags.
- Experience with building and optimizing data pipelines and data architecture.
- Knowledge of Power BI. Experience conducting root cause analyzes on internal and external data processes to answer specific business questions and identify opportunities for improvement.
- Knowledge of technologies such as Jenkins and Git.
- Create and maintain data pipeline structures with optimized performance.
- Assemble scalable data structures that meet functional and non-functional business requirements.
- Automate manual processes, optimize data deliveries and redesign infrastructure for better performance.
- Build the necessary infrastructure for extracting, transforming and loading data from different sources using SQL and other data languages.
- Build analytical tools that process data generated through data pipelines for customer acquisition, operational excellence and other metrics that generate valuable insights for the business.
- Work with executive stakeholders, Product stakeholders and other areas to provide a data infrastructure that supports their needs related to data and information.
- Document the area's procedures and data flows.
- Implement systems and routines that monitor and guarantee the quality and consistency of our databases.
- Act as Quality Assurance in deliveries of structures developed by other team members
- Bachelor's degree in Computer Engineering, Information Systems or related areas.
- Experience with SQL to work with relational bases and build queries.
- Experience in AWS Redshift.
- Work with different types of Databases.
- Experience with Python to build and maintain existing pipelines.
- Knowledge of Airflow, infrastructure and control of Dags.
- Experience with building and optimizing data pipelines and data architecture.
- Knowledge of Power BI. Experience conducting root cause analyzes on internal and external data processes to answer specific business questions and identify opportunities for improvement.
- Knowledge of technologies such as Jenkins and Git.
-
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Hyqoo São José dos Campos, SP, BrasilJob Title: Sr R&D Tech Product Analyst · Location: Hybrid (1-2 days onsite per week) · Office Address: Office Address - Rod. Pres. Dutra, Km 154 - s/n - Jardim das Industrias, São José dos Campos - SP, , Brazil. · Introduction: · We are currently on the lookout for a dynami ...
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Midlevel Data Engineer - São José dos Campos, Brasil - Huntingti
Descrição
sql airflow amazon-redshift powerbi git jenkins Company DescriptionTechnology ConsultancyJob DescriptionResponsibility:Requirements:
Requirements:
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