We are looking for an experienced Data Engineer with strong hands-on expertise in Python, SQL, and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have experience in data warehousing, data modeling, ETL/ELT processes, and cloud data architecture.

Roles and Responsibilities :

- Design, develop, and maintain scalable data pipelines and data warehouse solutions.

- Develop and optimize data processing workflows using Python and SQL.

- Build and manage cloud-based data solutions using AWS services.

- Implement and maintain ETL/ELT pipelines for data integration and transformation.

- Work on data modeling, database design, and performance optimization.

- Monitor, troubleshoot, and improve data workflows and cloud infrastructure.

- Implement best practices for data governance, security, data quality, and performance.

- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

Mandatory Skills :

- 4 - 10 years of experience in Data Engineering.

- Strong hands-on experience in Python and SQL.

- Experience working with AWS services.

- Experience building and maintaining data pipelines and data warehouses.

- Strong understanding of data modeling and database concepts.

- Knowledge of cloud-based data architectures and best practices.

- Good problem-solving and analytical skills.

Preferred Skills :

- Experience with Apache Airflow or similar workflow orchestration tools.

- Exposure to Apache Spark / PySpark.

- Experience with CI/CD pipelines and DevOps practices.

- Understanding of ETL/ELT processes and data integration frameworks.

- Familiarity with cloud-based data engineering best practices.