AI Data Engineering Lead
3 days ago
About Us:
At PriceEasy AI, we revolutionize the pricing and analytics industry with cutting-edge technologies. As a VC-backed leader, we empower convenience retailers worldwide with actionable insights through advanced platforms. Our mission is to optimize business intelligence and innovation using modern engineering practices.
We're seeking a visionary Architect/Data Engineer to shape our industry-leading platform. In this pivotal role, you will leverage your expertise in cloud-based architectures, big data processing, and modern engineering practices to drive business growth and innovation.
Key Responsibilities:
- Design and implement modern cloud-based application architectures for data engineering and analytics workflows.
- Develop, optimize, and maintain big data pipelines capable of handling large-scale datasets with efficiency.
- Write clean, efficient, and scalable Python code for data processing, ETL, and application development.
- Ensure data quality, consistency, and security across multiple systems and platforms.
- Collaborate with stakeholders to define data requirements and translate them into scalable technical solutions.
- Monitor, troubleshoot, and enhance system performance and reliability, ensuring uptime and responsiveness.
- Mentor and provide technical guidance to team members and stakeholders on best practices in architecture and data engineering.
Estimated Salary: ₹ 25,00,000 - ₹ 35,00,000 per annum
About the Role:
This is an exciting opportunity to join a fast-growing, venture-backed company working on industry-defining technologies. You will be part of a collaborative culture that fosters growth and innovation.
Requirements:
- Proven expertise in designing and implementing modern cloud-based architectures with AWS.
- Hands-on experience with big data processing frameworks such as Apache Spark or Hadoop.
- Proficiency in Python with demonstrated success in building scalable data solutions.
- Strong understanding of distributed systems and microservices architecture.
- 5+ years of experience in developing and scaling technology solutions.
- Excellent problem-solving abilities with acute attention to detail.
- Strong communication and collaboration skills to work effectively across teams.
- Experience with Snowflake for data warehousing and analytics.
- Familiarity with Redis for caching and real-time data applications.
- Strong understanding of SQL and NoSQL database technologies.
- Experience implementing CI/CD pipelines and DevOps practices.
- Knowledge of machine learning workflows and tools for predictive analytics.
- Hands-on experience in startups or high-growth environments.
What We Offer:
- Exciting Career Growth: Be part of a VC-backed company working on industry-defining technologies.
- Cutting-Edge Environment: Collaborate with innovators in one of the most respected tech platforms in the industry.
- Competitive Compensation: A market-leading salary and benefits package tailored to your skills and experience.
- Collaborative Culture: A supportive, inclusive workplace that fosters growth and innovation.
This is a 100% work-from-office position in Bangalore.
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