We are Hiring For AWS Data Engineers ( Python, PySpark, ETL, SQL, AWS S3 and Redshift ) at Coforge Ltd.
Experience Required: 3 to 8 Years
Job Location:- Greater Noida.
Share Your CV - [email protected]
WhatsApp Me For Any Queries - 9667427662 (Gaurav Sinha)
Job Summary:-
Coforge Ltd.is seeking a talented and experienced AWS Data Engineer to join our growing data team. You will play a crucial role in designing, building, and maintaining our data infrastructure on AWS. You will be responsible for developing scalable and efficient data pipelines, leveraging technologies like PySpark, S3, and Redshift to support our analytics and business intelligence needs.
JD:-
Responsibilities:
* Design, develop, and maintain robust and scalable data pipelines using PySpark and other relevant technologies on the AWS platform.
* Build and optimize data storage and retrieval solutions using AWS S3 and Redshift.
* Implement data quality checks and monitoring to ensure data accuracy and reliability.
* Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
* Troubleshoot and resolve data pipeline issues and performance bottlenecks.
* Implement and maintain data security and governance policies.
* Stay up-to-date with the latest AWS data technologies and best practices.
* Contribute to the documentation of data pipelines, data models, and ETL processes.
* Participate in code reviews and contribute to the team's development standards.
Qualifications:-
* Bachelor's degree in Computer Science, Engineering, or a related field.
* 3 to 8 years of hands-on experience in data engineering.
* Strong proficiency in PySpark for data processing and transformation.
* Extensive experience working with AWS S3 for data storage and retrieval.
* Solid understanding and practical experience with AWS Redshift for data warehousing.
* Experience with other AWS data services such as Glue, EMR, Athena, etc., is a plus.
* Strong SQL skills and experience working with relational databases.
* Experience with data modeling, ETL/ELT processes, and data warehousing concepts.
* Familiarity with scripting languages like Python.
* Experience with version control systems (e.g., Git).
* Excellent problem-solving and analytical skills.
* Strong communication and collaboration skills.
* Ability to work independently and as part of a team.