Data Engineering Role

5 days ago


Shimoga, India 100x.inc Full time

Minimum Requirements: - At least 3 years of professional experience in Data Engineering - Demonstrated end-to-end ownership of ETL pipelines - Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions (non-negotiable) - Strong proficiency in MySQL (non-negotiable) - Working knowledge of Docker: setup, deployment, and troubleshooting Highly Preferred Skills: - Experience with orchestration tools such as Airflow or similar - Hands-on with PySpark - Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy - Exposure to DLT (Data Load Tool) Ideal Candidate Profile: The role demands a builder's mindset over a maintainer'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-not just lines of code. Candidates are expected to include the phrase Red Panda in their application to confirm they've read this section in full. Key Responsibilities: - Architect, build, and optimize scalable data pipelines and workflows - Manage AWS resources end-to-end: from configuration to optimization and debugging - Work closely with product and engineering to enable high-velocity business impact - Automate and scale data processes-manual workflows are not part of the culture - Build foundational data systems that drive critical business decisions Compensation range: 8.4-12 LPA (fixed base), excluding equity, performance bonus, and revenue share components.



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