Associate Developer

Campus Engineerhub Private Limited; Hyderabad; On-site; INR 700,000 - 1,200,000; Full time

Job summary

TransUnion is seeking a Data Engineer to develop, test, and deploy robust data pipelines using Spark, Scala, and Python. You will design data models and SQL queries, work in a GCP environment, and help build scalable data infrastructure.

The role requires 1–2 years in SQL/UNIX, Python, and cloud experience, with strong problem-solving, communication, and teamwork. Hybrid collaboration and ongoing learning are encouraged in this fast-paced data-driven team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 1–2 years of experience in SQL and UNIX operating systems.
• Hands-on experience with Spark and Scala.
• Experience in Python programming.
• Solid understanding of SQL and relational database concepts.
• Experience working in a Cloud environment GCP.
• Experience with Unix/Linux environments.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.

Responsibilities

• Develop, test, and deploy robust and scalable data pipelines using Spark, Scala, and Python.
• Write efficient and maintainable code in Scala and Python.
• Design and implement data models and SQL queries for efficient data access and analysis.
• Work within a cloud-based environment GCP to build and deploy data solutions.
• Contribute to the development and maintenance of data infrastructure.
• Participate in code reviews to ensure code quality and best practices.
• Collaborate with data scientists, analysts, and engineers to understand data requirements.
• Troubleshoot and resolve issues related to data pipelines and applications.
• Document data pipelines and system architecture; stay updated with Big Data trends.

Skills

Problem solving

Analytical skills

Communication

Teamwork

Independent work

Education

Bachelor's degree in CS/Engineering

Tools

Spark

Scala

Python

SQL

Unix/Linux

Job description

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Job Description

TransUnion Overview
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Role Overview And Core Responsibilities

• Develop, test, and deploy robust and scalable data pipelines using technologies such as Spark, Scala, and Python.


• Write efficient and maintainable code in Scala, and Python.


• Design and implement data models and SQL queries for efficient data access and analysis.


• Work within a cloud-based environment GCP to build and deploy data solutions.


• Contribute to the development and maintenance of data infrastructure.


• Participate in code reviews to ensure code quality and adherence to best practices.


• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions.


• Troubleshoot and resolve issues related to data pipelines and applications.


• Contribute to documentation of data pipelines and system architecture.


• Stay up-to-date with the latest Big Data technologies and trends.
  

Required Knowledge And Experiences

• Bachelor's degree in Computer Science, Engineering, or a related field.


• Minimum of 1-2 years of experience in SQL and UNIX operating system.


• Hands-on experience with Spark and Scala.


• Experience in Python programming.


• Solid understanding of SQL and relational database concepts.


• Experience working in a Cloud environment GCP.


• Experience with Unix/Linux environments.


• Excellent problem-solving and analytical skills.


• Strong communication and collaboration skills.


• Ability to work independently and as part of a team.
  

Preferred Qualifications

• Experience with data warehousing concepts and technologies.


• Experience with data visualization tools.


• Familiarity with agile development methodologies.