Junior Data Engineer (Tableau/SQL/ETL)
About the Company
We are a dynamic technology company working on data-driven solutions for multiple clients. Our team is responsible for developing, maintaining, and optimizing data pipelines and analytics tools. We focus on efficiency, performance, and innovation.
Job Overview
We are seeking a Data Engineer to help maintain and enhance our data processing and analytics capabilities. This role involves working with SQL, Tableau, AWS, and ETL pipelines. Experience with DBT (Data Build Tool) is highly preferred but not mandatory. The ideal candidate should have strong SQL skills and be able to work with various databases and cloud technologies.
Key Responsibilities
- Design, develop, and maintain ETL pipelines for data processing.
- Work with SQL databases (PostgreSQL, MySQL) to extract, transform, and analyze data.
- Create and optimize data visualizations and dashboards in Tableau.
- Utilize AWS cloud services for data storage and processing.
- Collaborate with internal teams to understand business requirements and improve data workflows.
- Work with GitHub for version control and team collaboration.
- Ensure data integrity, security, and efficiency across all projects.
Required Qualifications
- 2+ years of experience in data engineering or a related field.
- Strong knowledge of SQL (MySQL, PostgreSQL).
- Experience with Tableau for data visualization.
- Familiarity with AWS cloud services.
- Understanding of ETL pipelines and data transformation.
- Basic knowledge of GitHub for version control.
- Good written and verbal communication skills in English.
Nice To Have
- Experience with DBT (Data Build Tool).
- Knowledge of Python for data processing.
- Experience with big data technologies.
Why Join Us?
- Competitive salary.
- Fully remote role with flexible work hours.
- Work with modern data technologies and tools.
- Collaborative international team environment.
About the Company
We are a dynamic technology company working on data-driven solutions for multiple clients. Our team is responsible for developing, maintaining, and optimizing data pipelines and analytics tools. We focus on efficiency, performance, and innovation.
Job Overview
We are seeking a Data Engineer to help maintain and enhance our data processing and analytics capabilities. This role involves working with SQL, Tableau, AWS, and ETL pipelines. Experience with DBT (Data Build Tool) is highly preferred but not mandatory. The ideal candidate should have strong SQL skills and be able to work with various databases and cloud technologies.
Key Responsibilities
- Design, develop, and maintain ETL pipelines for data processing.
- Work with SQL databases (PostgreSQL, MySQL) to extract, transform, and analyze data.
- Create and optimize data visualizations and dashboards in Tableau.
- Utilize AWS cloud services for data storage and processing.
- Collaborate with internal teams to understand business requirements and improve data workflows.
- Work with GitHub for version control and team collaboration.
- Ensure data integrity, security, and efficiency across all projects.
Required Qualifications
- 2+ years of experience in data engineering or a related field.
- Strong knowledge of SQL (MySQL, PostgreSQL).
- Experience with Tableau for data visualization.
- Familiarity with AWS cloud services.
- Understanding of ETL pipelines and data transformation.
- Basic knowledge of GitHub for version control.
- Good written and verbal communication skills in English.
Nice To Have
- Experience with DBT (Data Build Tool).
- Knowledge of Python for data processing.
- Experience with big data technologies.
Why Join Us?
- Competitive salary.
- Fully remote role with flexible work hours.
- Work with modern data technologies and tools.
- Collaborative international team environment.