AWS Data Engineer
2 months ago
Role : AWS Data : 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 :
- 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 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 (ref:hirist.tech)
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