Data Engineer – AWS Glue, Redshift,, PySpark

1 week ago

Hyderabad, India Cyepro Solutions Full time

Company Overview: Cyepro Solutions is at the forefront of innovation in customer relationship management, specializing in the automotive industry. We offer a platform that empowers dealerships, manufacturers, and service providers to enhance customer experiences and streamline operations. Headquartered in Hyderabad, Telangana, with a team of 51-200 employees, Cyepro Solutions is dedicated to transforming automotive CRM and delivering sustainable growth solutions. Explore more about us at Cyepro Solutions . Job Overview: We are seeking a talented Data Engineer to join our team at Cyepro Solutions. Located in Hyderabad, this mid-level position is a full-time role that focuses on leveraging cutting-edge technologies to transform data operations and contribute to our CRM solutions. The successful candidate will work in a dynamic environment with opportunities to impact our company's future success. Qualifications and Skills: AWS Glue (Mandatory skill) - Extensive experience in using AWS Glue for data integration and ETL processes. PySpark (Mandatory skill) - Proficient in developing data processing frameworks and workflows using PySpark. Redshift (Mandatory skill) - In-depth knowledge and experience in optimizing and managing Amazon Redshift clusters. Python - Strong programming skills in Python for data manipulation and analysis. ETL - Experience with Extract, Transform, Load (ETL) processes in large-scale data environments. Strong analytical and troubleshooting skills for resolving data processing issues effectively. Ability to work collaboratively in a team and communicate effectively with technical and non-technical stakeholders. Familiarity with data modeling and database design concepts, ensuring the reliability and efficiency of data systems. Roles and Responsibilities: Design, develop, and maintain scalable ETL processes using AWS Glue and PySpark. Optimize Redshift clusters for performance, ensuring data accuracy and efficiency in processing. Collaborate with cross-functional teams to understand data needs and deliver appropriate data solutions. Develop and automate data pipelines to support data analytics and business intelligence efforts. Monitor and troubleshoot data workflow issues to ensure data reliability and availability. Participate in code reviews and provide constructive feedback to maintain code quality standards. Document data processes and pipelines to facilitate knowledge sharing and stakeholder understanding. Stay updated with the latest industry trends and best practices in data engineering and AWS services.

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