AWS Data Engineer – L2 Support

7 days ago

Lahore, Punjab, Pakistan NorthBay Solutions LLC Full time
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.
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 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).
Career Path Opportunities
  • Senior Data Engineer (L2/L3 Support / ETL Development)
  • Big Data Engineer / AWS Data Architect
  • Data Engineering Lead / Architect
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