Design, develop, and maintain scalable data pipelines, ETL/ELT processes, integrations, and cloud-based data solutions. Optimize data storage, retrieval, workflows, and processing performance while ensuring data quality and reliability. Collaborate with cross-functional teams, troubleshoot complex engineering challenges, lead technical decisions, and mentor junior team members.
HIRING | Data Engineer – Associate Manager
Location: Hyderabad
Experience: 7.5+ Years
Role: Associate Manager
Market: EMEA | ? Workstream: Core
Skill: Data Engineering
Education: 15 Years Full-Time Education Required
We are looking for an experienced Data Engineering professional with strong expertise in data pipelines, ETL, data integration, cloud data platforms, and scalable data solutions. The ideal candidate should be capable of leading technical initiatives and collaborating with multiple teams.
• Strong hands-on experience in Data Engineering
• Data pipeline design, development and maintenance
• ETL/ELT process implementation
• Data integration and migration
• Cloud-based data platforms
• Distributed computing frameworks
• Data quality assurance and monitoring
• Data storage and retrieval optimization
• Scalable data architecture
• Workflow optimization and performance improvement
• Cross-functional team collaboration
• Technical problem-solving and decision-making
• Team mentoring and leadership
Key Responsibilities• Design, develop and maintain scalable data solutions
• Build and manage efficient data pipelines and workflows
• Implement ETL processes for data transformation and migration
• Ensure data quality, integrity and reliability
• Design data architectures aligned with evolving business needs
• Optimize data storage, retrieval and processing performance
• Work with cloud platforms and distributed computing technologies
• Coordinate with cross-functional teams to improve data workflows
• Troubleshoot complex data engineering challenges
• Lead technical decisions and provide solutions across teams
• Mentor junior team members and support knowledge sharing
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