Chief Data Architect

1 week ago

Hubli, Karnataka, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 15,00,000
Job Overview:

Data Engineers play a vital role in building scalable data pipelines that fuel real-time insights.

This is more than just ETL; it's mission-critical infrastructure. You'll be responsible for engineering systems that feed our analytics dashboards, ensuring our platform stays ahead in a data-driven industry.

Key Responsibilities:

  • Build and Optimize Data Systems

Develop & Maintain Data Highways: Develop and manage cloud-based data lakes, warehouses, and ETL/ELT pipelines that ingest, process, and deliver data from various sources.

Monitor System Performance: Monitor cloud infrastructure performance, resolve bottlenecks, and ensure scalability/reliability for 24/7 operations.

Implement Security Measures: Implement data quality checks, encryption, and compliance standards to protect sensitive data.

Automate Workflows: Use tools like Airflow to streamline workflows and reduce manual intervention in pipeline maintenance.

  • Support Analytics & Troubleshoot Issues

Prepare Datasets: Partner with Data Scientists to prep datasets for predictive models and troubleshoot pipeline issues impacting their work.

Solve Data Discrepancies: Diagnose root causes of pipeline failures, data discrepancies, or MLOps hiccups—then implement fixes that prevent repeat headaches.

Map Data Dependencies: Document source-to-target mappings, conduct data profiling, and clarify dependencies so analysts can self-serve without guesswork.

Stay Up-to-Date: Experiment with new tools and techniques to improve data quality, system performance, and pipeline resilience.

  • Collaborate & Learn

Communicate Effectively: Break down complex data concepts for non-technical audiences and ask questions to avoid ambiguity.

Learn by Doing: Shadow senior engineers, participate in code reviews, and absorb best practices to level up your craft.

Work as a Team: Work closely with onshore and offshore developers, IT Operations, and stakeholders across teams to deliver solutions that balance technical rigor with real-world usability.

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