Associate Developer, SQL and UNIX operating system

Overview

An Associate Developer role focused on Big Data technologies, contributing to the design, development and implementation of data pipelines and applications within a GCP cloud environment, working alongside senior engineers.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• Experience with data warehousing concepts and technologies.
• Experience with data visualization tools.
• Familiarity with agile development methodologies.
• Certifications in GCP cloud platforms.

Details

• Hybrid position: regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
• Location: Hyderabad.