AWS Data Pipeline Architect

1 week ago


Gandhinagar, Gujarat, India beBeeData Full time ₹ 25,00,000 - ₹ 40,00,000

Key to our success lies in leveraging the power of data. We are seeking a highly skilled and experienced Senior AWS Data Engineer to join our data engineering team.

The ideal candidate will have deep expertise in building scalable data pipelines using Apache Spark, PySpark, SQL, and Python, along with hands-on experience in the AWS ecosystem.

Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines on AWS using Spark and PySpark
  • Optimize large-scale data processing workflows for performance and reliability
  • Work with AWS services such as Glue, EMR, S3, Lambda, and Redshift
  • Ensure data quality, governance, and security across all pipelines

Requirements:

  • 6+ years of experience in data engineering
  • Strong proficiency in Spark, PySpark, SQL, and Python
  • Hands-on experience with AWS data services
  • Solid understanding of distributed computing and data architecture
  • Excellent problem-solving and communication skills
  • Experience with CI/CD for data pipelines
  • Familiarity with data lake and data warehouse architectures

We offer a dynamic work environment that fosters growth and collaboration. If you are passionate about working with data and want to be part of a talented team, please submit your application.



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