Job Summary :

We are looking for an experienced Data Engineer with strong expertise in Python, AWS, Apache Airflow, and Amazon Redshift.

Key Responsibilities :

- Develop and maintain ETL/ELT processes and data pipelines.

- Design, build, and orchestrate data workflows using Apache Airflow.

- Work with AWS services to support data engineering and integration requirements.

- Develop and optimize data solutions using Python and SQL.

- Manage and support data storage and processing using Amazon Redshift.

- Implement data modeling concepts to support business and analytical requirements.

- Maintain and manage code repositories using version control systems such as Git.

- Collaborate with cross-functional teams to deliver data engineering solutions.

Required Skills & Experience :

- 5+ years of experience in Data Engineering.

- Strong hands-on experience in Python.

- Mandatory experience with AWS services.

- Good experience with Apache Airflow.

- Strong experience with Amazon Redshift.

- Experience in ETL/ELT development and data pipeline orchestration.

- Knowledge of SQL and data modeling concepts.

- Experience with Git or other version control systems.

Preferred Skills :

- Experience in Healthcare, Pharma, Life Sciences, or Clinical Data domains.

- Familiarity with CI/CD pipelines and Agile methodologies.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.