At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place
Our approach is simple — empower engineers with the best tools possible to make
an impact within their industry.
We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.
As a Senior Data Engineer at Rearc, you will be at the forefront of driving technical excellence within our data engineering team. Your expertise in data architecture, cloud-native solutions,
and modern data processing frameworks will be essential in designing workflows that are optimized for efficiency, scalability, and reliability. You'll leverage tools like Databricks, PySpark, and Delta Lake to deliver cutting-edge data solutions that align with business objectives. Collaborating with cross-functional teams, you will design and implement scalable architectures while adhering to best practices in data management and governance. Building strong relationships with both technical teams and stakeholders will be crucial as you lead data-driven initiatives and ensure their seamless execution.
What You Bring
8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases.
Solid expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments.
Extensive experience with Python for data engineering tasks, including familiarity with libraries and frameworks commonly used in Pyt
📌 Senior Data Engineer (Bengaluru)
🏢 Rearc
📍 Bengaluru
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