Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.

Staff Data Engineer, India

Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on-premises, cloud, and SaaS products.

Revenera's Monetization platform is the global standard for electronic software licensing and entitlement management. It helps you implement your digital business model, define packaging options for your software, manage customers and their use rights and deliver software and updates.

Revenera is looking for an experienced Data Engineering Manager to lead our team of Software and Data Engineers who build our Data Warehouse and Data Analytics platforms for FlexNet Operations.

Job Description

Experienced Senior Data Engineer design, build, and optimize scalable data pipelines and systems. You will be responsible for managing complex datasets, ensuring high data quality, and collaborating with cross-functional teams.

Responsibilities

• Architect, develop, document and maintain robust data pipelines and ETL processes.
• Design and implement data storage solutions (data warehouses) optimized for performance and cost.
• Collaborate with PO/PM and other stakeholders to understand data needs and deliver solutions. Advising on and contributing to projects & delivery planning for all data engineering elements.
• Implement and manage data quality, data governance, and metadata management frameworks.
• Optimize data systems for scalability, reliability, and performance. Ensure compliance with data privacy and security regulations (GDPR, CCPA, etc.).
• Mentor junior data engineers and lead technical initiatives.
• Continually looking for innovative ways to make improvements in building a scalable data platform based on the latest trends and research.
• Working closely with IT to ensure data security and cloud configuration remains at optimum performance at all times.
  
  

Required Skills And Qualifications

• 10-12 years of previous experience of working with large complex data engineering projects.
• Experience with designing and developing ETL pipelines. In-depth understanding of data modelling, ETL processes, and data warehousing concepts.
• Technical knowledge of data engineering techniques and concepts, including data ingestion, processing, and storage.
• Expert-level proficiency in SQL. Working knowledge in Python, reactJS/NodeJS, Javascript, typescript Strong understanding of database management.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus
• Prior experience with cloud-based analytical tools like Snowflake is highly advantageous. Excellent communication and technical presentation skills. Able to work methodically under pressure and work to tight deadlines.
• Ability to multi-task and work across a range of projects and issues with various timelines and priorities.
• Able to work in a flexible and agile environment.
• Exposure to real-time data streaming and event-driven architecture.
• Knowledge of AI, Machine Learning workflows and Machine Learning Operations is a plus.
  
  

Revenera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing [email protected].