Senior Data Engineer

Location:  Gurgaon, India

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking a highly skilled and motivated Senior Data Engineer to join our global team. As a Senior Data Engineer, you will design, build, and maintain the systems and infrastructure that enable efficient data collection, processing, and analysis. Your work will empower the organization to make data-driven decisions and support advanced analytics and machine learning initiatives.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines to extract, transform, and load (ETL/ELT) data from various sources.


• Integrate data from a variety of formats and sources, including APIs, cloud platforms, and on-premise databases.


• Optimize data workflows and processing for performance and reliability.


• Work closely with the AI  & data analytics teams to understand data requirements and deliver tailored solutions.


• Collaborate with other engineering teams to design and optimize data architectures, ensuring data availability and consistency across the organization.


• Ensure data quality, integrity, and compliance with organizational and regulatory standards.


• Develop and enforce data governance policies and procedures.


• Monitor and optimize the performance of data infrastructure and pipelines.


• Document data engineering processes, workflows, and infrastructure for transparency and maintainability.

Required Skills:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.


• 5+ years of experience working as a data engineer or a similar role.


• Strong knowledge of data modeling and schema design.


• Proficient in SQL and some programming languages such as Python.


• Strong working knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery).


• Hands-on experience with ETL/ELT tools and workflows.


• Familiarity with cloud platforms (Google Cloud, AWS, Azure) and their data-related services.


• Knowledge of orchestration / data processing tools (Airflow, dbt).


• Ability to troubleshoot data-related issues and identify root causes.


• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.


• Experience with big data tools and platforms (e.g.  Kafka, Spark) is a plus


• Excellent communication and collaboration skills.


• Ability to work in a fast-paced, dynamic environment with multiple stakeholders.

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.