Cloud Data Engineering Lead

2 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior AWS Data Engineer Job Description

We are seeking a highly skilled Senior AWS Data Engineer to join our team.

The ideal candidate will have extensive experience in designing, developing, and deploying end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.

  • Design and Develop Data Pipelines: Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
  • Implement Data Processing Workflows: Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.
  • Build and Maintain Orchestration Workflows: Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.

Required Skills and Qualifications:

  • Minimum 8+ Years of Experience: Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Hands-on Experience: Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
  • Strong Proficiency: Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.

Benefits:

  • Opportunity to work with a talented team: Opportunity to work with a talented team of engineers and analysts.
  • Professional growth and development: Professional growth and development opportunities.
Key Responsibilities
  • Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable data solutions.
  • Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Qualification
  • Strong experience with Apache Spark for data processing and analytics.
  • Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.

Apply Today

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