Qureos Mentor

100X

Minimum Requirements:<ul><li>At least 3 years of professional experience in Data Engineering</li><li>Demonstrated end-to-end ownership of ETL pipelines</li><li>Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions (non-negotiable)</li><li>Strong proficiency in MySQL (non-negotiable)</li><li>Working knowledge of Docker: setup, deployment, and troubleshooting</li></ul>Highly Preferred Skills:<ul><li>Experience with orchestration tools such as Airflow or similar</li><li>Hands-on with PySpark</li><li>Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy</li><li>Exposure to DLT (Data Load Tool)</li></ul>Ideal Candidate Profile:The role demands a builder&rsquo;s mindset over a maintainer&rsquo;s. Independent contributors with clear, efficient communication thrive here. Those who excel tend to embrace fast-paced startup environments, take true ownership, and are motivated by impact&mdash;not just lines of code. Candidates are expected to include the phrase Red Panda in their application to confirm they&rsquo;ve read this section in full.Key Responsibilities:<ul><li>Architect, build, and optimize scalable data pipelines and workflows</li><li>Manage AWS resources end-to-end: from configuration to optimization and debugging</li><li>Work closely with product and engineering to enable high-velocity business impact</li><li>Automate and scale data processes&mdash;manual workflows are not part of the culture</li><li>Build foundational data systems that drive critical business decisions</li></ul>Compensation range: &#8377;8.4&ndash;12 LPA (fixed base), excluding equity, performance bonus, and revenue share components.Job Type: Full-timePay: &#8377;840,000.00 - &#8377;1,200,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Paid time off</li><li>Work from home</li></ul>Application Question(s):<ul><li>Does your expected fixed base compensation align with our budget?</li></ul>Work Location: Remote

Data Engineer

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100X

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Data Engineer