Senior Data Architect

5 days ago


Delhi, Delhi, India Recro Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Recro. In this role, you will be responsible for designing and implementing scalable data pipelines and building robust data assets.

Salary: 23 LPA

Responsibilities
  • Design and implement data pipelines using Pyspark/Python/Boto3, ensuring efficient and scalable data processing.
  • Develop strong hands-on experience with Python frameworks and libraries, adhering to best practices.
  • Optimize code using Spark SQL and Pyspark, improving performance and reducing costs.
  • Collaborate with cross-functional teams to understand business requirements and develop tailored solutions.
  • Maintain and refactor existing legacy codebases, ensuring modernization, readability, and maintainability.
  • Implement unit tests and TDD principles to ensure functionality and catch bugs early.
  • Debug complex issues, isolate problems, and resolve performance, concurrency, or logic flaws.
  • Prioritize tasks and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results.
Required Skills and Qualifications
  • 4+ years of experience in data engineering techniques, including Pyspark/Python/Boto3.
  • Strong understanding of AWS Architecture, including S3, EC2, Lambda, Redshift, and CloudFormation.
  • Experience with code versioning (Git), JFrog Artifactory, and other DevOps tools.
  • Proficiency in refactoring legacy code, improving readability, and maintaining scalability.
  • Excellent problem-solving skills, with the ability to debug complex issues and resolve technical challenges.


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