Senior Data Engineer

Role-Senior Data Engineer

CTC- 25-50 LPA(Based on experience)

Location-Bangalore

Data Engineer

Key Responsibilities

• Develop, design, and optimize data processing pipelines leveraging

  Python

  ,

  SQL

  , and

  Spark

  .
• Architect scalable and repeatable data flows and management solutions in a

  Cloud environment

  .
• Utilize

  Kafka

  platform for real-time, high-volume data ingestion and processing.
• Implement

  infrastructure-as-code

  practices for deployment consistency and reliability.
• Maintain and use version control systems such as

  GIT

  ; develop and update

  technical documentation

  .
• Collaborate effectively with cross-functional teams, ensuring strong

  communication

  and agile delivery.
• Apply

  Agile

  ,

  Scrum

  , or

  Kanban methodologies

  to manage product delivery efficiently.

Qualifications

• Bachelors or Masters degree

  in Computer Science, Information Systems, or related field.
• Minimum

  4 years

  of professional experience building data pipelines and managing big data technologies.
• Strong hands-on experience with

  ETL frameworks

  (e.g., Airflow, Jenkins) for production deployment.
• Deep understanding of

  data structures

  and willingness to adopt new technologies.
• Experience with

  AWS cloud tools

  , including

  Glue

  and

  Athena

  .
• Proficient in

  English

  , with excellent communication skills.
• Demonstrated ability to deliver data engineering solutions with a

  product-oriented mindset

  .