Chief Data Engineer

7 hours ago

Tiruchi, Tamil Nadu, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Data Engineering at a Leading Organization

We foster a collaborative work environment to support innovation and improve experiences.

Our team plays a key role in driving and delivering data engineering solutions that establish our organization as a competitive advantage.

Job Overview:
  • Lead the design and implementation of enterprise data platforms: Architect and oversee the deployment of scalable, reliable, and secure data infrastructure for large organizations.

Key Responsibilities:

  • Drive innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance.
  • Mentor and guide junior and mid-level data engineers: Provide technical leadership, code reviews, and career development support.
  • Collaborate with stakeholders across teams: Align data engineering initiatives with business objectives and ensure cross-functional alignment.
  • Establish and enforce data engineering best practices: Define standards for pipeline architecture, data quality, security, and compliance across the organization.
  • Present findings and recommendations to senior leadership: Communicate technical concepts and business impacts to executives and decision-makers.

Requirements:

  • Technical Skills: 8 – 12 years of experience, expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools.
  • Deep Understanding: Deep understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
  • Scalable Systems: Proven ability to build and deploy scalable data systems: Design and implement robust, production-grade data platforms on GCP.
  • Big Data Technologies: Experience with big data technologies: Use Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.
  • Security and Compliance: Strong security and compliance expertise: Implement and enforce security controls, encryption, audit logging for data systems, and compliance standards or data systems.
  • Communication: Excellent communication and presentation skills: Articulate technical concepts and business value to diverse audiences.

Must Have Skills:

  • Python and Orchestration Tools: Python, orchestration tools (e.g. Airflow, Cloud Composer)
  • Data Architecture: Data architecture: data lakes, warehouses, streaming (e.g. Pub/Sub, Dataflow, Dataproc)
  • GCP and Production-Grade Deployment: Experience with GCP and production-grade data platform deployment
  • Data Security and Governance: Data security, compliance, and governance standards
  • Data Modeling: Data modeling skills - Experience with different data modeling techniques (dimensional modeling, relational modeling, should be able to design scalable data models)
  • SQL Skills: SQL Skills level - Expert
  • BigQuery Expertise: Deep understanding of bigquery, have experience on partitioning, clustering and performance optimizations
  • Cloud Function Experience: Experience on Cloud function, Composer and Cloud run, dataflow flex templates - should be able to write.

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