Data Engineer

Elfonze Technologies; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Elfonze Technologies Bengaluru is seeking a data engineer to design, build and maintain data transformation pipelines that deliver business-ready datasets to stakeholders across the organization. You will work with large-scale data, ensure quality, and optimize performance in a cloud environment.

You will document data pipelines, data models and processes, and collaborate with business stakeholders to understand data requirements for diverse use cases.

Qualifications

• Experience with Python and Scala.
• Experience with big data processing frameworks such as Spark, Flink, or Ray.
• Experience with dimensional modeling.
• Experience building large-scale distributed systems in AWS or a similar cloud provider.
• Experience using Claude AI to accelerate workflows.
• Experience with data orchestration tools like Airflow or Dagster.
• Experience with infrastructure-as-code tools (Terraform) and modern CI/CD pipelines.

Responsibilities

• Design, build, and maintain data transformation pipelines to produce business-ready datasets to stakeholders.
• Document data pipelines, data models, and data transformation processes.
• Collaborate with business stakeholders teams to identify and understand data requirements for various business needs.

Skills

Python

Scala

AI (Claude)

Dimensional modeling

CI/CD practices

Tools

Spark

Flink

Ray

Airflow

Dagster

Terraform

Job description

• Design, build, and maintain data transformation pipelines to produce business-ready datasets to stakeholders.
• Document data pipelines, data models, and data transformation processes.

Collaborate with business stakeholders teams to identify and understand data requirements for various business needs.

Required Skills/Qualifications:

• Experience with Python and Scala.
• Experience with big data processing frameworks such as Spark, Flink, or Ray.
• Experience with dimensional modeling.
• Experience on building large scale distributed systems in AWS or a similar cloud provider.
• Experience using AI (e.g., Claude) to accelerate workflows.
• Experience with data orchestration tools like Airflow or Dagster.
• Experience with infrastructure-as-code tools (e.g., Terraform) and modern CI/CD pipelines.