AWS Data Scientist

7 days ago

Lahore, Punjab, Pakistan beBeeData Full time
Job Description

We are seeking an AWS Data Engineer to fill a critical role in our organization. The ideal candidate will possess strong analytical skills and experience working with data pipelines on the AWS platform.

The successful candidate will work closely with cross-functional teams to design, implement, and maintain efficient data processing workflows using AWS Glue, Lambda, Step Functions, and other related services.

This is a rotational shift position that requires 24/7 coverage with alternate weekends off. The ideal candidate will be able to work independently while effectively collaborating with others.

Key Responsibilities
  • Monitor and troubleshoot AWS data pipelines using 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.
Required Skills and 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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