Data Engineer

Data Engineer

Experience- 3-7 years

Location - Delhi

Key Responsibilities:

• Design, develop, and maintain

  ETL pipelines

  and database schemas to support business and analytics needs.
• Work with

  multi-database architectures

  (SQL, NoSQL, MongoDB) ensuring scalability and efficiency.
• Deploy and manage

  AWS resources

  such as Lambda functions and EC2 instances.
• Integrate and optimize

  streaming/messaging frameworks

  such as Kafka and caching systems like Redis.
• Collaborate with cross-functional teams to ensure seamless data flow across platforms.
• Monitor infrastructure and system performance using tools such as

  Grafana, CloudWatch, or equivalent monitoring solutions

  .
• Ensure data quality, security, and compliance standards are consistently maintained.

Required Skills & Experience:

• Strong programming experience in

  SQL, Python, and MongoDB

  .
• Proven experience in building and managing

  ETL pipelines

  .
• Ability to work in a

  platform-agnostic

  environment.
• Hands-on experience with

  AWS services

  (Lambda, EC2).
• Exposure to

  Kafka / Redis

  .
• Experience with monitoring tools (

  Grafana, CloudWatch, etc.

  ).
• Strong problem-solving skills and ability to work in a fast-paced environment.