
Data Processing Specialist
4 days ago
This is an exciting opportunity to join our team as a skilled data engineer, responsible for supporting our data operations and ensuring data integrity and pipeline continuity.
Key Responsibilities- Data Pipeline Maintenance: Monitor, troubleshoot, and maintain AWS data pipelines using various tools and technologies.
- Error Resolution: Investigate job failures, analyze CloudWatch logs, and collaborate with teams to resolve issues.
- Process Optimization: Re-run failed jobs and optimize data ingestion processes to ensure data consistency.
- Team Collaboration: Work closely with engineers and architects to escalate and resolve complex issues.
- Documentation: Maintain documentation of troubleshooting steps, common issues, and resolutions.
- Incident Response: Participate in incident response and recovery procedures as needed.
- Educational Background: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
- Professional Experience: Up to 2+ years of experience in Data Processing / ETL.
- Technical Skills: Proficiency in Python and SQL, hands-on experience with AWS Glue, Athena, Lambda, Step Functions, and Redshift.
- Familiarity with PySpark and ETL Development: Familiarity with PySpark and ETL development.
- Debugging and Monitoring: Experience in monitoring and debugging AWS Glue jobs, Step Functions, and Lambda logs.
- Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills to diagnose and resolve data processing failures.
- Certifications and Qualifications: AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect Associate.
- Senior Data Engineer: Senior Data Engineer (L2/L3 Support / ETL Development)
- Big Data Engineer: Big Data Engineer / AWS Data Architect
- Data Engineering Lead: Data Engineering Lead / Architect
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