Senior Data Engineer - Data Operations

About our company:  

Welcome to Decision Foundry - Data Analytics Division! 

We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels. 

Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success. 

We are passionate about harnessing the power of data analytics to transform decision-making processes. Our mission is to empower data-driven decisions that contribute to a better world. In our workplace, you will enjoy the freedom to experiment and explore innovative ideas, leading to outstanding client service and value creation. 

We win as an organization through our core tenets. They include: 

·       One Team. One Theme. 

·       We sign it. We deliver it. 

·       Be Accountable and Expect Accountability. 

·       Raise Your Hand or Be Willing to Extend it

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.

Requirements

Required Skills & Qualifications:

• 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.