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AWS Data Engineer – L2 Support

4 weeks ago


Lahore, Punjab, Pakistan NorthBay Solutions Full time

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
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
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
  • Industries
  • Internet Publishing
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