AWS Data Engineer

Key Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation.
• Build and maintain robust data pipelines using AWS cloud services.
• Partner with Business Intelligence (BI), AI/ML, and Infrastructure teams to deliver reliable and scalable data platform solutions.
• Develop efficient SQL queries and Python scripts for data processing, automation, and analytics.
• Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides.
• Develop comprehensive unit tests and perform code reviews to ensure high-quality, reliable, and maintainable code.
• Monitor, troubleshoot, and optimize data pipelines to ensure performance, scalability, and reliability.
• Work on multiple projects simultaneously while managing priorities in a fast-paced environment.
• Follow coding standards, best practices, and data governance guidelines.

Required Skills & Qualifications

• 3–5 years of hands-on experience in Data Engineering.
• Strong experience in designing and developing ETL/ELT pipelines.
• Proficiency in SQL and Python programming.

Hands-on experience with AWS services, including

AWS Glue (preferred)

AWS IAM

Amazon CloudWatch

• Experience with workflow orchestration tools such as Apache Airflow (preferred).
• Understanding of data warehousing concepts and dimensional data modeling.
• Knowledge of version control systems such as Git.
• Experience writing unit tests and following software development best practices.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and documentation skills.
• Ability to manage multiple tasks and work effectively in a collaborative environment.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of Spark, PySpark, or Databricks is an advantage.
• Exposure to AI/ML data pipelines and feature engineering.
• Familiarity with Agile/Scrum development methodologies.
• AWS Certification (Developer Associate or Data Engineer Associate) is a plus.

Key Competencies

AWS Data Engineering

ETL/ELT Development

SQL & Python

Amazon Redshift

AWS Lambda

Amazon S3

Data Warehousing

Unit Testing

Technical Documentation

Problem Solving

Team Collaboration

Multitasking

Agile Development

Educational Qualification

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Relevant AWS certifications will be an added advantage.