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About the Role

Supports and optimizes ETL processes and data lake environments to ensure reliable data integration, processing, and analytics capabilities. Focuses on resolving complex technical issues, maintaining data pipeline performance, and supporting cloud-based data platforms.

Responsibilities

• Provide advanced technical support by analyzing and troubleshooting complex incidents related to ETL processes and data lake operations.
• Perform root cause analysis for escalated issues and implement solutions to address technical or security challenges in cloud environments.
• Support and maintain data pipelines ensuring seamless data integration and performance optimization.
• Collaborate with cross-functional teams to ensure reliable data movement across platforms.
• Monitor and maintain cloud-based data infrastructure including analytics and database platforms.
• Maintain knowledge base documentation and operational procedures.
• Support onboarding and training of new team members on ETL tools and cloud analytics services.
• Resolve complex support tickets in alignment with service level agreements (SLAs).
• Contribute to high levels of customer satisfaction through efficient issue resolution.

Requirements

• Strong understanding of ETL processes and data pipeline architecture.
• Experience working with data lakes and large-scale data processing environments.
• Knowledge of AWS core services including AWS RDS and analytics tools.
• Familiarity with database technologies and data integration workflows.
• Experience with at least one scripting language.
• Strong troubleshooting and root cause analysis skills.
• Excellent written and verbal communication skills.
• Understanding of security and compliance best practices.

Skills

• ETL processes
• Data pipeline architecture
• Data lakes
• Large-scale data processing
• AWS core services
• AWS RDS
• Analytics tools
• Database technologies
• Data integration workflows
• Scripting language
• Troubleshooting
• Root cause analysis
• Communication skills
• Security best practices
• Compliance best practices

Experience Level

• 5–7 years of relevant experience in data platform operations, ETL support, or data engineering environments.

Education Level

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.