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AWS Data Engineer – L2 Support
4 weeks ago
Get AI-powered advice on this job and more exclusive features.
Job Overview
We are seeking a Level 2 AWS Data Engineer to join our team. This role involves monitoring, troubleshooting, and optimizing AWS-based data pipelines while ensuring data integrity and pipeline continuity. You will work with AWS Glue, Lambda, Step Functions, and other AWS data services to investigate job failures, re-run ETL jobs, and support production workloads. This position operates in rotational shifts (24/7) with alternate weekends off to provide continuous coverage.
Location: Lahore, Karachi, Islamabad
Work Schedule: 5 days a week, 8-hour rotational shifts (24/7 coverage) with alternate weekends off
Key Responsibilities
- Monitor, troubleshoot, and support AWS data pipelines using any two of AWS Glue, Lambda, Step Functions, Athena, Redshift, or Airflow
- Investigate job failures, analyze CloudWatch logs, and collaborate with L2/L3 teams to implement corrective actions
- Re-run failed jobs and retry data ingestion processes while ensuring data consistency
- Work closely with L2/L3 engineers and data architects to escalate and resolve complex issues
- Maintain documentation of troubleshooting steps, common issues, and resolutions
- Participate in incident response and recovery procedures as needed
- Provide technical support for production data pipelines, ensuring SLAs are met
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field
- Up to 2+ years of experience in Data Processing / ETL
- Hands-on experience with any two of AWS Glue, Athena, Lambda, Step Functions, Redshift
- Proficiency in Python and SQL for data querying and processing (preferred)
- Familiarity with PySpark and ETL development (a plus)
- Experience in monitoring and debugging AWS Glue jobs, Step Functions, and Lambda logs (a plus)
- Strong analytical and problem-solving skills to diagnose and resolve data processing failures
- Ability to work independently while effectively collaborating with cross-functional teams
- AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect Associate (preferred but not mandatory)
- Excellent communication and interpersonal skills
- Prior experience in L1/L2 support (a plus)
- Senior Data Engineer (L2/L3 Support / ETL Development)
- Big Data Engineer / AWS Data Architect
- Data Engineering Lead / Architect
- Entry level
- Full-time
- Information Technology
- Industries
- Internet Publishing