AWS Data Engineer – L2 Support

Lahore, Punjab, Pakistan

Full Time

MSP Team

Entry Level

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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Do you have experience working with at least two of the following AWS services: Glue, Lambda, Step Functions, Athena, Redshift, or Airflow?*

Which AWS services have you worked with? (Select all that apply)* A) AWS GlueB) AWS LambdaC) AWS Step FunctionsD) Amazon AthenaE) Amazon RedshiftF) Apache AirflowG) None of the above

Rate your proficiency in working with AWS data services (Glue, Lambda, Step Functions, Athena, Redshift, or Airflow) on a scale of 1 to 5 (5 being the highest).*

Do you have hands-on experience with Python and SQL for data querying and processing?*

Are you comfortable working in an 8-hour rotational shift (24/7) with alternate weekends off?*

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