Senior Data Engineer - Data Operations

Key Responsibilities:

• Lead and mentor a highly skilled offshore Data Operations team of 4 5 engineers.
• Manage and resolve technical tickets related to data infrastructure using Jira
• Maintain and monitor production data systems to ensure optimal performance and stability.
• Conduct regular system checks and support day-to-day data operations.
• Take ownership of processes and ensure strict adherence to SLAs and QA standards.
• Proactively monitor data operations using AWS CloudWatch and troubleshoot issues in real-time.
• Ensure error-free operations and continuous process improvement.
• Act as the technical escalation point and participate in hands-on debugging and resolution.
• Develop and maintain documentation outlining workflows and SOPs.

• Collaborate cross-functionally with engineering and business / end-customers to align goals.

• 5-10 years of experience in data engineering, production support, or operational roles.
• Proven experience with AWS Redshift and production-grade support in a cloud environment.
• Hands-on experience in data warehousing, SQL, and Python.
• Strong experience with monitoring and alerting tools such as CloudWatch.
• Familiarity with handling tickets and managing workflows using Jira.
• Experience leading teams in offshore or distributed environments.
• Strong understanding of SLAs, uptime, and data quality frameworks.
• Background in establishing or improving support and QA processes is a plus.
• Ability to lead by example, manage time effectively, and thrive in fast-paced environments.

  What We Offer:

• A leadership role that comes with ownership, autonomy, and visibility.
• Exposure to enterprise-grade systems and global clients.
• Opportunity to pioneer and lead offshore operations with growth potential.
• Collaborative, inclusive, and innovation-driven culture.
• Competitive compensation and performance-based growth.