Senior Data Infrastructure Specialist

6 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 3,00,00,000

Unlock the Power of Data Engineering

The data engineering team is a critical component of our infrastructure, responsible for designing and implementing scalable systems that support our organization's growth.

We focus on building sophisticated data frameworks that can ingest and process large volumes of data from various sources, ensuring seamless reliability and optimal performance.

Our expertise lies in efficiently modeling and storing massive amounts of data, while maintaining system resilience and leveraging cloud-native infrastructure.

Leveraging AWS messaging infrastructure, we empower high-throughput data processing that fuels every core product and analytics pipeline across the company.

The platforms we build are foundational to our AI/ML initiatives and business intelligence efforts. We are driven by a commitment to creating scalable, reliable data solutions that fuel innovation and accelerate business growth.

As a member of the data engineering team, you will work with cutting-edge technologies to solve complex data challenges and make a direct impact on the success of every product and data-driven initiative in the company.

What You Will Own & Drive

- Lead the vision, roadmap, and execution for ATS and HRIS integrations, including simplification of customer implementations.

- Build and scale high-performing engineering teams with strong technical leadership across levels.

- Collaborate closely with Product, Data, and DevOps to deliver secure and scalable systems.

- Ensure system reliability, availability, and performance across hybrid cloud/on-prem environments.

- Hire, mentor, and retain top-tier engineering talent while fostering a world-class culture.

- Provide hands-on leadership for strategic technology initiatives and key product/platform areas.

- Own the full product and technology lifecycle from architecture and design to deployment and business impact.

- Be comfortable diving deep into architecture and code, including conducting code reviews and contributing to development as needed.

What You Bring

- Minimum 10+ years of engineering experience, with 3+ years leading high-scale teams.

- Deep expertise in cloud-native infrastructure (AWS, GCP, etc.).

- Proven track record in building and scaling secure, reliable platforms.

- Experience with LLMs and Generative AI tools in workflows is a strong advantage.

- Strong communication skills with the ability to influence and partner across engineering and business functions.

- Bonus: Experience in building ingestion and data frameworks at scale using AWS.

- Demonstrated success in building high-caliber teams and cultivating a thriving engineering culture.

- A cross-functional mindset with a bias for execution and delivering end-to-end outcomes.

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