Senior Data Engineer

Role-Senior Data Engineer CTC- 25-50 LPA(Based on experience)

Experience - Min 5 years experience in Data Engineering

Location-Bangalore

We are seeking a skilled Data Engineer with strong expertise in Python , SQL , and modern big data technologies to design and build scalable, efficient data flows and pipelines in a cloud environment . The ideal candidate will have hands-on experience with real-time data ingestion using Kafka , proficiency in Spark for data processing, and familiarity with AWS cloud services such as Glue and Athena . This role demands strong programming skills, experience with ETL frameworks , version control proficiency, and a proactive, collaborative mindset for seamless delivery in Agile teams .

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

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

Minimum 5 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 .