Roblox Operating System (ROS) is our internal productivity platform that governs how Roblox operates as a company. Through an integrated suite of tools, ROS shapes how we make talent and personnel decisions, plan and organize work, discover knowledge, and scale efficiently.

We are seeking a Senior Data Engineer to enhance our data posture and architecture, synchronizing data across vital third-party systems like Workday, Greenhouse, GSuite, and JIRA, as well as our internal Roblox OS application database. Our Roblox OS app suite encompasses internal tools and third-party applications for People Operations, Talent Acquisition, Budgeting, Roadmapping, and Business Analytics. We envision an integrated platform that streamlines processes while providing employees and leaders with the information they need to support the business.

This is a new team in our Roblox India location, working closely with data scientists & analysts, product & engineering, and other stakeholders in India & US. You will report to the Engineering Manager of the Roblox OS Team in your local location and collaborate with Roblox internal teams globally.

 

Work Model: This role is based in Gurugram and follows a hybrid structure — 3 days from the office (Tuesday, Wednesday & Thursday) and 2 days work from home.

Shift Time: 2:00pm - 10:30pm IST (Cabs will be provided)

 

You Will

• Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust, scalable data pipelines using orchestration frameworks like Airflow to synchronize data between internal systems.
• Implement and Optimize ETL Processes: Apply strong understanding of ETL (Extract, Transform, Load) processes and best practices for seamless data integration and transformation.
• Develop Data Solutions with SQL: Utilize your proficiency in SQL and relational databases (e.g., PostgreSQL) for advanced querying, data modeling, and optimizing data solutions.
• Contribute to Data Architecture: Actively participate in data architecture and implementation discussions, ensuring data integrity and efficient data transposition. Manage and optimize data infrastructure, including database, cloud storage solutions, and API endpoints.
• Write High-Quality Code: Focus on developing clear, readable, testable, modular, and well-monitored code for data manipulation, automation, and software development with a strong emphasis on data integrity.
• Troubleshoot and Optimize Performance: Apply excellent analytical and problem-solving skills to diagnose data issues and optimize pipeline performance.
• Collaborate Cross-Functionally: Work effectively with cross-functional teams, including data scientists, analysts, and business stakeholders, to translate business needs into technical data solutions.
• Ensure Data Governance and Security: Implement data anonymization and pseudonymization techniques to protect sensitive data, and contribute to master data management (MDM) concepts including data quality, lineage, and governance frameworks.

You Have

• Data Engineering Expertise: At least 6+ Proven experience designing, building, and maintaining scalable data pipelines, coupled with a strong understanding of ETL processes and best practices for data integration.
• Database and Data Warehousing Proficiency: Deep proficiency in SQL and relational databases (e.g., PostgreSQL), and familiarity with at least one cloud-based data warehouse solution (e.g., Snowflake, Redshift, BigQuery).
• Technical Acumen: Strong scripting skills for data manipulation and automation. Familiarity with data streaming platforms (e.g., Kafka, Kinesis), and knowledge of containerization (e.g., Docker) and cloud infrastructure (e.g., AWS, Azure, GCP) for deploying and managing data solutions.
• Data & Cloud Infrastructure Management: Experience with managing and optimizing data infrastructure, including database, cloud storage solutions, and configuring API endpoints.
• Software Development Experience: Experience in software development with a focus on data integrity and transposition, and a commitment to writing clear, readable, testable, modular, and well-monitored code.
• Problem-Solving & Collaboration Skills: Excellent analytical and problem-solving abilities to troubleshoot complex data issues, combined with strong communication and collaboration skills to work effectively across teams.
• Passion for Data: A genuine passion for working with amounts of data from various sources, understanding the critical impact of data quality on company strategy at an executive level.
• Adaptability: Ability to thrive and deliver results in a fast-paced environment with competing priorities.