Data Engineer

The Flower Puff Girlz; Bengaluru; On-site; INR 1,500,000 - 5,000,000; Full time

Job summary

The Flower Puff Girlz in Bengaluru is seeking a Data Engineer to design and build scalable data pipelines in a cloud environment. Proficiency in Python, SQL, Spark, Kafka, and AWS Glue/Athena is essential, with hands-on experience in real-time data ingestion and data processing.

You will work in Agile teams, implementing IaC practices, maintaining version control, and delivering robust data solutions using ETL frameworks like Airflow and Jenkins.

Qualifications

• Bachelor’s or Master’s 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.

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.

Skills

Python

SQL

Spark

Kafka

AWS

ETL frameworks

GIT

Agile

Kanban

Scrum

Education

Bachelor\u2019s or Master\u2019s degree in CS/IS

Tools

Airflow

Jenkins

Git

Job description

CTC- 15-50 LPA(Based on experience)
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 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.