Senior Data Operations Specialist

7 hours ago


Hyderabad, Telangana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Operations Specialist

We are seeking an experienced Senior Data Operations Specialist to support our data organization. This role involves maintaining data pipelines and corresponding platforms while collaborating with global teams on DataOps initiatives.

  • Maintain day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on cloud platforms.
  • Support the development of enterprise-scale data pipelines using Azure services.
  • Collaborate with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps.
  • Ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance.
About the Role
  • Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.
  • Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control.
  • Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making.
  • Align DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams.
Requirements
  • 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
  • 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
  • 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
  • Experience in a lead or senior support role, with a focus on DataOps execution and delivery.
Benefits
  • Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery.
  • Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps.
  • Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals.


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