Job Description

Senior Data Engineer – AWS

Experience: 5–7 Years
Location: Islamabad, Lahore or Karachi (Pakistan)
Employment Type: Full-Time

We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.

Key Responsibilities

• Develop and maintain batch and real-time data pipelines on AWS
• Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services
• Assist in workflow orchestration using Apache Airflow (MWAA)
• Support serverless data processing using AWS Lambda
• Participate in designing data warehousing solutions using Amazon Redshift
• Design and manage data storage strategies with Amazon S3 and DynamoDB
• Apply data governance and access controls using AWS DataZone
• Monitor and troubleshoot data platform issues using Amazon CloudWatch
• Collaborate with Analytics, BI, Data Science, and Business teams
• Write clean, efficient code, and perform peer code reviews
• Follow security, compliance, and data governance standards

Required Skills & Experience

• 5–7 years of experience in Data Engineering or related roles
• 3+ years of hands-on experience designing data solutions on AWS
• Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
• Strong programming skills in Python
• Advanced SQL skills with performance tuning expertise
• Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
• Familiarity with Agile/Scrum delivery environments
• Problem-solving and analytical skills

Nice to Have

• AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
• Experience with real-time streaming (Kinesis, Kafka)
• Exposure to data governance and metadata management tools
• Knowledge of cost optimization in AWS