AWS Data Engineer

Role:

Required Technical Skill Set:

Desired Experience Range:

Location of Requirement:

Notice period:

Virtual Interview on 05 – July – 2025 (Saturday)

Interview Date: 05 – July – 2025 (Saturday)

Must-Have:

• 3 – 5 years of experience in Data Engineering, with at least 2+ years working on AWS.
• Strong foundation in building scalable data pipelines on AWS, excellent SQL skills, and hands-on experience with modern data processing frameworks.
• Proficient in

  AWS services

  : S3, Glue, Lambda, Redshift, Athena, IAM, CloudWatch, Step Functions.
• Strong programming/scripting skills in

  Python

  or

  Scala

  .
• Solid understanding of

  SQL

  and experience in data modeling and performance tuning.
• Experience in processing large-scale datasets (batch and streaming).
• Familiarity with

  data versioning

  ,

  logging

  , and

  orchestration

  tools (e.g., Airflow, AWS Step Functions).

Good-to-Have:

• Experience with

  Snowflake

  ,

  Databricks

  , or

  Apache Spark

  .
• Familiarity with

  Terraform

  or

  CloudFormation

  for infrastructure as code.
• Experience with

  CI/CD pipelines

  and version control (Git).
• Knowledge of data governance frameworks (e.g., Apache Atlas, AWS Lake Formation).
• Exposure to

  Kafka

  ,

  Kinesis

  , or other streaming platforms.
• Knowledge of

  containerization

  using Docker and Kubernetes (EKS preferred).
• Understanding

  data privacy regulations

  like GDPR, HIPAA, etc.