- Research, design, and develop components for our enterprise-level cybersecurity application.
- Design, develop, and deploy scalable and efficient data pipelines, ETL processes, and data integration solutions.
- Architect and implement data models, schemas, and database solutions to support our analytical and operational needs.
- Evaluate and select appropriate technologies, tools, and frameworks to enhance data processing, storage, and analytics capabilities.
- Drive initiatives to improve data quality, consistency, and reliability across the organization.
- Lead and contribute to the testing, validation and documentation of data solutions to ensure scalability, reliability, and maintainability.
- Identify areas of improvement, enhancements, and innovation in the software development process.
- Collaborate closely with the engineering team and non-engineering stakeholders throughout the development lifecycle.
- Thrive in a dynamic startup environment, contributing to a culture of innovation and excellence.
- Write clean, maintainable, and efficient code, adhering to best practices and coding standards.
- Participate in code reviews and provide constructive feedback to peers.
- Collaborate with the DevOps team to deploy and manage applications in production environments.
- Stay up-to-date with industry trends and advancements to ensure our technology stack remains current and competitive.
- At least 14 years of hands-on experience in designing and developing enterprise-grade software, including 6+ years of experience in data engineering.
- Proven track record of designing and implementing large-scale data solutions.
- Strong hands-on experience with big data technologies, frameworks and distributed computing.
- Excellent problem-solving abilities, analytical thinking, and attention to detail.
- Solid proficiency in one or more programming languages such as Python, Java, or Ruby.
- Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of RESTful API design and implementation.
- Experience with the ELK stack and NoSQL databases (e.g., MongoDB) is a significant advantage.
- Strong communication and collaboration skills.
- Ability to thrive in a fast-paced, dynamic work environment.
- Master's or Bachelor's degree in Computer Science, Engineering, or a related field.
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Principal Data Engineer - Pune, India - NorthStar HR Consultants
Description
Job Title - Principal Data Engineer
Job Location - Baner, Pune
About Company & Product
Our client is a pioneering Identity SecOps provider that arms identity and cybersecurity teams with end-to-end, real-time identity security posture management and threat detection. They are designed to secure identity and access in any cloud (e.g. AWS, Azure), as well as on-premises or data centres. In 2022, Gartner recognized our client as a Cool Vendor in Identity-First Security.
The product is heavily driven by data analytics as well as AI/ML (in the near future). The core idea is to analyze events & logs from enterprise systems & networks to enable the use cases we are trying to solve in the area of identity & access security.
Position Overview
As a Principal Data Engineer, you will have end-to-end ownership of the relevant software components, ensuring scalability, reliability, and optimal performance. You will actively contribute to the research, design and development of enterprise-grade, scalable data solutions that enable our organisation to extract maximum value from data assets. Collaboration with cross-functional teams, including QA, UI, DevOps, IT/Ops, and non-engineering stakeholders, is integral to this role.
Responsibilities
Requirements