Senior Data Engineering Specialist

2 days ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title:

Data Engineer L3

Company Overview:

We are a leading global retailer with warehouse club operations in multiple countries.

Job Responsibilities:
  • Develop and implement large-scale data platforms: Lead the design and deployment of scalable, reliable, and secure data infrastructure for enterprises.
  • Promote innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance.
  • Mentor 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.
  • Communicate findings and recommendations to senior leadership: Present technical concepts and business impacts to executives and decision-makers.
Technical Skills:
  • 8 – 12 years of experience
  • Expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools.
  • In-depth understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
  • Proven ability to build and deploy scalable data systems: Design and implement robust, production-grade data platforms on GCP.
  • Experience with big data technologies: Use Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.
  • Strong security and compliance expertise: Implement and enforce security controls, encryption, audit logging for data systems, and compliance standards or data systems.
  • Excellent communication and presentation skills: Articulate technical concepts and business value to diverse audiences.
Required Skills and Qualifications:
  • Python, orchestration tools (e.g. Airflow, Cloud Composer)
  • Data architecture: data lakes, warehouses, streaming (e.g. Pub/Sub, Dataflow, Dataproc)
  • Experience with GCP and production-grade data platform deployment
  • Data security, compliance, and governance standards
  • Data modeling skills - Experience with different data modeling techniques (dimensional modeling, relational modeling, able to design scalable data models)
  • SQL Skills level - Expert
  • Deep understanding of BigQuery, have experience on partitioning, clustering and performance optimizations
  • Experience on Cloud Function, Composer and Cloud Run, dataflow flex templates - able to write
Benefits:

This role offers a unique opportunity to work with a talented team, driving innovation and excellence in data engineering.

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