Data Engineer Experience 5 to 7 years

1. As a Data Engineer, you will:

• Design, develop, and maintain scalable data pipelines to support enterprise data integration and analytics requirements.
• Develop and optimize complex SQL queries, stored procedures, and data transformation logic.
• Support and maintain Snowflake-based data warehouse solutions.
• Manage production support activities and follow ITSM incident management processes.
• Investigate and resolve P1, P2, P3, and P4 incidents while ensuring timely communication with business stakeholders.
• Coordinate with multiple support teams to drive issue resolution and service continuity.
• Participate in end-to-end Change Request Management activities, including requirement gathering, documentation, testing, deployment, and compliance validation.
• Perform manual unit testing and integration testing for new enhancements and system changes.
• Ensure adherence to SOX compliance and organizational governance standards.
• Work closely with business users and cross-functional teams in an Agile environment.

2. What You Bring to the Table:

• 5-7 years of experience in Data Integration and Data Warehousing.
• Minimum 5 years of hands-on experience with Snowflake Cloud Data Platform.
• Strong expertise in writing complex SQL queries, Stored Procedures, and data transformations.
• Good understanding of Data Modeling and Data Warehousing concepts.
• Experience supporting enterprise data platforms and production environments.
• Knowledge of ITSM processes and incident management practices.
• Experience interacting directly with business stakeholders and handling client-facing communications.
• Bachelor’s degree in Engineering (BE/B.Tech) or equivalent.
• Excellent verbal and written communication skills.

3. You Should Possess the Ability to:

• Build efficient and scalable data pipelines for enterprise data platforms.
• Analyze, troubleshoot, and resolve complex production issues.
• Communicate effectively with business partners regarding issue impact, progress, and resolution.
• Gather and document business requirements and translate them into technical solutions.
• Manage multiple priorities while maintaining SLA commitments.
• Collaborate effectively across business, support, and development teams.
• Ensure high-quality deliverables while maintaining compliance and governance standards.

4. What We Bring to the Table:

• Opportunity to work on enterprise-scale data warehousing and cloud data initiatives.
• Exposure to modern Snowflake-based data ecosystems and large-scale analytics platforms.
• Collaborative and fast-paced work environment with strong stakeholder engagement.
• Opportunities for continuous learning, professional growth, and skill enhancement.
• Challenging projects involving data engineering, support, and business transformation initiatives.
• A culture that values ownership, innovation, quality, and customer focus.