Opportunity brief
Sanas is hiring for the role of Data Engineering & Dashboard Developer Intern!
Responsibilitiess of the Intern:
- Design and develop customer-facing dashboard templates using HTML, CSS, and JavaScript. - Build responsive and interactive dashboard layouts that provide an excellent user experience. - Develop and maintain ETL pipelines to extract, transform, and load data from multiple sources. - Implement incremental data loading strategies to efficiently process large datasets. - Integrate data from APIs, databases, and cloud platforms into reporting systems. - Build dashboards and reports using BI tools such as Metabase, Power BI, Tableau, or Intellicus. - Optimize SQL queries and data models to improve reporting performance. - Validate data quality and troubleshoot discrepancies across multiple data sources. - Collaborate with Product, Engineering, and Customer Success teams to deliver customer-specific reporting requirements. - Explore AI tools and automation techniques to improve reporting workflows and productivity.
Requirements:
Must-Have Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field. - Strong proficiency in HTML, CSS, and JavaScript. - Good understanding of responsive web design and modern UI development. - Hands-on experience writing SQL queries and working with relational databases. - Experience building ETL pipelines and implementing incremental data loading. - Knowledge of data transformation, data cleaning, and data validation techniques. - Experience creating dashboards using BI tools such as Metabase, Power BI, Tableau, or similar platforms. - Familiarity with REST APIs and integrating multiple data sources. - Strong analytical and problem-solving skills. - Good communication and collaboration skills.
Preferred Qualifications:
- Experience with Python for ETL automation or data processing. - Familiarity with cloud platforms such as AWS, GCP, or Azure. - Knowledge of data warehouses such as BigQuery, Snowflake, PostgreSQL, or ClickHouse. - Experience working with Git and version control. - Understanding of dashboard performance optimization and data modeling. - Exposure to workflow automation and scheduling tools. - Prior internship or personal projects involving analytics dashboards or customer reporting