AWS Data Engineer
@ Qode

Hybrid
Hybrid
Full Time
Posted 3 days ago

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Job Details

Job Summary

We are looking for an experienced AWS Data Engineer with strong expertise in Python and PySpark to design, build, and maintain large-scale data pipelines and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS services, distributed data processing, and implementing scalable solutions for analytics and machine learning use cases.

Key Responsibilities

  • Design, develop, and optimize data pipelines using Python, PySpark, and SQL.
  • Build and manage ETL/ELT workflows for structured and unstructured data.
  • Leverage AWS services such as S3, Glue, EMR, Redshift, Lambda, Athena, Kinesis, Step Functions, and RDS.
  • Implement data lake/data warehouse architectures and ensure data quality, consistency, and security.
  • Work with large-scale distributed systems for real-time and batch data processing.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data solutions.
  • Develop and enforce data governance, monitoring, and best practices for performance optimization.
  • Deploy and manage CI/CD pipelines for data workflows using AWS tools or GitHub Actions.

Required Skills & Qualifications

  • Strong programming skills in Python and hands-on experience with PySpark.
  • Proficiency in SQL for complex queries, transformations, and performance tuning.
  • Solid experience with the AWS cloud ecosystem (S3, Glue, EMR, Redshift, Athena, Lambda, etc.).
  • Experience with data lakes, data warehouses, and distributed systems.
  • Knowledge of ETL frameworks, workflow orchestration (Airflow, Step Functions, or similar), and automation.
  • Familiarity with Docker, Kubernetes, or containerized deployments.
  • Strong understanding of data modeling, partitioning, and optimization techniques.
  • Excellent problem-solving, debugging, and communication skills.

Key skills/competency

AWS, Data Engineering, Python, PySpark, SQL, ETL, Data Pipelines, Cloud, Data Warehousing, CI/CD

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How to Get Hired at Qode

🎯 Tips for Getting Hired

  • Research Qode's culture: Study their mission and values online.
  • Customize your resume: Highlight AWS and data pipeline expertise.
  • Emphasize Python skills: Include relevant projects and outcomes.
  • Prepare for technical interviews: Review AWS services and PySpark challenges.

📝 Interview Preparation Advice

Technical Preparation

Review AWS services documentation.
Practice Python scripting exercises.
Work on PySpark coding challenges.
Study ETL best practices and data models.

Behavioral Questions

Describe teamwork in project scenarios.
Explain problem-solving under pressure.
Share a conflict resolution example.
Discuss time management in workflow setups.

Frequently Asked Questions