Data Engineer - Client :Amazon

Job Title:

• Design, develop, and maintain scalable data pipelines using

  Python

   and

  SQL

  .
• Work with

  Big Data technologies

   to process and manage large datasets efficiently.
• Implement and manage workflows using

  Apache Airflow

  .
• Develop and optimize data models and queries in

  Amazon Redshift

  .
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, consistency, and security across all data platforms.
• Monitor and troubleshoot data pipeline performance and reliability.
• Leverage

  AWS services

   (S3, Lambda, Glue, EMR, etc.) for cloud-native data engineering solutions.

Required Skills & Qualifications:

• 5+ years of experience in

  Data Engineering

  .
• Strong proficiency in

  SQL

   and

  Python

  .
• Hands-on experience with

  Big Data tools

   (e.g., Spark, Hadoop).
• Expertise in

  AWS cloud services

   related to data engineering.
• Experience with

  Apache Airflow

   for workflow orchestration.
• Solid understanding of

  Amazon Redshift

   and data warehousing concepts.
• Excellent problem-solving and communication skills.
• Ability to work in a fast-paced, collaborative environment.

Nice to Have:

• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with data governance and compliance standards.

Perks & Benefits:

• Opportunity to work on cutting-edge data technologies.
• Collaborative and innovative work culture.
• Immediate joining preferred.