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AWS Data Engineer

  • Source: Naukri
  • Commergence Solutions
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Role: AWS Data Engineer

Experience: 10 + years

Location: Hyderabad

Role & Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Implement ETL/ELT processes for efficient data ingestion, transformation, and storage.
  • Optimize data workflows for performance, reliability, and scalability.
  • Collaborate with data scientists and analysts to support data analytics and reporting needs.
  • Ensure data security, compliance, and best practices across all data engineering processes.
  • Monitor system performance and troubleshoot issues proactively to ensure system reliability.

Skills & Qualifications

Must-Have

  • Proficiency in AWS data services such as AWS Glue, Lambda, S3, and Redshift.
  • Strong experience with designing and implementing ETL pipelines.
  • Programming skills in Python and SQL.
  • Experience with Big Data tools like Apache Spark.
  • Good understanding of data security and compliance standards.

Preferred

  • Experience with data modeling and data warehouse design.
  • Knowledge of orchestration tools like Apache Airflow.

Benefits & Culture Highlights

  • Flexible hybrid work model promoting work-life balance.
  • Collaborative and innovative work environment.
  • Opportunities for professional development and growth.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Skills

  • amazon-web-services
  • aws-glue
  • aws-lambda
  • amazon-s3
  • amazon-redshift
  • Python
  • Spark
  • Airflow
  • apache-airflow

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