AWS Data Engineer - SQL/Python (5-8 yrs)

Role : AWS Data Engineer

Experience : 5+ Years

Location : Gurgaon (WFO)

Must have : Databricks, AWS, SQL, Python, PySpark.

- Looking for Immediate Joiners only

We are seeking a skilled Backend Data Engineer to join our dynamic team. The ideal candidate will have expertise in Databricks, AWS, SQL, Python, and PySpark, with a proven ability to design and implement efficient data pipelines. Additionally, a foundational knowledge of API development is required. If you are passionate about data engineering and eager to tackle complex challenges, we would love to hear from you!

Responsibilities :

- Design, develop, and maintain robust data pipelines using Python and PySpark on Databricks.

- Collaborate with data scientists and analysts to understand data requirements and optimize data flows.

- Implement ETL processes to extract, transform, and load data from various sources.

- Utilize AWS services to manage data storage, processing, and orchestration.

- Write clean, maintainable, and efficient code to support data operations.

- Conduct code reviews and contribute to team best practices.

- Assist in the development of APIs for data access and integration.

- Troubleshoot and resolve data-related issues in a timely manner.

- Document processes and maintain data flow documentation.

Qualifications :

- Proven experience as a Data Engineer or in a similar role.

- Proficiency in Databricks, AWS, SQL, Python, and PySpark.

- Experience with data pipeline orchestration and workflow management.

- Basic understanding of API development and integration.

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork abilities.

- Familiarity with version control systems (e.g., Git) is a plus.

Preferred Qualifications :

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

- Experience with cloud-based data warehousing solutions.

- Knowledge of data modeling and database design principles.