Chief Data Infrastructure Specialist

6 days ago

Kozhikode, Kerala, India beBeeDataEngineer Full time ₹ 12,10,000 - ₹ 20,10,000
Job Overview

We are seeking a skilled professional to manage our analytics infrastructure.

The ideal candidate will design and build scalable data pipelines that fuel real-time insights for a large maritime fleet worldwide.

A key member of our team, you will be responsible for creating and maintaining data systems, ensuring system reliability and scalability, and implementing data quality checks and encryption.

  • Key Responsibilities:
  • Data Systems Management
    • Create & maintain data highways: Develop and manage cloud-based data lakes, warehouses, and ETL/ELT pipelines that ingest, process, and deliver data from various sources
    • Keep systems optimized: Monitor cloud infrastructure performance, resolve bottlenecks, and ensure scalability/reliability for 24/7 operations
    • Secure the pipeline: Implement data quality checks, encryption, and compliance standards (GDPR, SOC2) to protect sensitive data
    • Automate workflows: Use tools like Airflow to streamline processes and reduce manual intervention in pipeline maintenance
  • Analytics Support & Troubleshooting
    • Fuel AI/ML engines: Partner with Data Scientists to prep datasets for predictive models (e.g., fuel efficiency, preventative maintenance, etc.) and troubleshoot pipeline issues impacting their work
    • Solve data mysteries: Diagnose root causes of pipeline failures, data discrepancies, or MLOps hiccups—then implement fixes that prevent repeat headaches
    • Map data flows: Document source-to-target mappings, conduct data profiling, and clarify dependencies so analysts can self-serve without guesswork
    • Stay curious: Experiment with new tools and techniques to improve data quality, system performance, and pipeline resilience
  • Collaboration & Growth
    • Be the bridge: Work closely with developers, IT Operations, and stakeholders across teams to deliver solutions that balance technical rigor with real-world usability
    • 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

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