Data Engineering

The interview process typically consists of three rounds: a technical round, a technical round, and an HR round. The technical rounds assess problem-solving skills, data structures, and algorithms, while the HR round evaluates communication and collaboration skills. It's essential to be prepared for technical questions and to demonstrate a strong understanding of data engineering and visualization concepts.

Sanas has a collaborative and innovative work culture that encourages experimentation and learning. The company prioritizes work-life balance and provides opportunities for growth and development. Sanas is committed to creating a diverse and inclusive work environment.

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.

Round 1: Technical Round → Round 2: Technical Round → Round 3: HR

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more. Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language. Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house. Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication. If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you. About the Role We're looking for a Contract / Intern-to-Hire Data Engineering & Dashboard Developer who enjoys building end-to-end data solutions—from ingesting and transforming data to creating visually appealing customer-facing dashboards. This internship is a six month, onsite opportunity at our Bangalore location. This role is ideal for someone who has a strong foundation in HTML, CSS, JavaScript, and enjoys working with data pipelines, ETL processes, and BI dashboards. You'll work closely with Product, Engineering, Customer Success, and Business Intelligence teams to build scalable reporting solutions for enterprise customers. Key Responsibilities 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. 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. What You'll Gain Hands-on experience building production-grade ETL pipelines and customer-facing dashboards. Exposure to enterprise-scale datasets and real-world reporting challenges. Opportunity to work with modern BI platforms and cloud-based data infrastructure. Mentorship from experienced engineers and data professionals. Opportunity to transition into a full-time role based on performance. Joining Sanas means helping build the future of AI-powered enterprise communication while solving challenging data engineering and visualization problems at scale.