Lead I - Data Engineering

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Data Engineer, you will need to have a minimum of 5 years of experience and the capability to collaborate closely with project leads and clients. Your primary responsibility will be to design and develop scalable data processing systems. This includes gathering requirements, devising end-to-end solutions, and managing projects from inception to implementation. Moreover, you will play a crucial role in mentoring team members and transforming intricate business needs into robust technical solutions using state-of-the-art technologies. Key Responsibilities: - Design and develop scalable data processing systems - Gather requirements and create end-to-end solutions - Oversee projects from conception to production - Mentor team members - Translate complex business needs into technical solutions Qualifications Required: - Strong expertise in Python, PySpark, Spark architecture, and performance tuning - Proficiency in writing optimized SQL with a focus on performance tuning - Strong expertise in AWS data engineering services (Glue, Lambda, API Gateway, S3) - Ability to translate complex business requirements into technical solutions - Working knowledge of Unix (Good to have) - Hands-on experience with CloudFormation and CI/CD pipeline (Good to have) The company is seeking a Senior Data Engineer with proficiency in AWS, Python, Databricks, and PySpark.,

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