We are seeking a Level 2 AWS Data Engineerto join our team. This role involvesmonitoring, troubleshooting, and optimizing AWS-based data pipelineswhile ensuringdata integrity and pipeline continuity. You will work with AWS Glue, Lambda, Step Functions, and other AWS data services toinvestigate job failures, re-run ETL jobs, and support production workloads. This position operates inrotational shifts (24/7) with alternate weekends offto 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 Cloud Watch 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
Qualifications 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 Py Spark 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)
Career Path Opportunities Senior Data Engineer (L2/L3 Support / ETL Development)
Big Data Engineer / AWS Data Architect
Data Engineering Lead / Architect#J-18808-Ljbffr