Live opening · Posted 4 days ago

Data Engineer

Aurinko IT Solutions Pvt. Ltd. · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyAurinko IT Solutions Pvt. Ltd.
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SourceLinkedin
Listed4 days ago

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About the role

Description supplied by the original job listing.

Company Description Aurinko IT Solutions Pvt. Ltd. is a Hyderabad-based deep-tech software company specializing in next-generation enterprise platforms in the B2B SaaS domain. The organization focuses on solving complex, large-scale data and infrastructure challenges through scalable and intelligent software solutions. Aurinko builds enterprise-grade systems that support modern data-driven organizations in achieving greater efficiency, scalability, and operational reliability. Founded in India with a global vision, the company is committed to delivering robust, future-ready platforms that serve businesses worldwide.
Role Description This is a full-time, on-site Data Engineer role based in Hyderabad. The Data Engineer will design, build, and maintain data pipelines and ETL processes to support reliable data movement across systems. Responsibilities include developing and optimizing data models, managing data warehousing solutions, and collaborating with analytics and product teams to ensure data is accessible and usable for business insights. The role involves monitoring data workflows, troubleshooting performance issues, implementing data quality checks, and contributing to the design of scalable data infrastructure. The Data Engineer will also work closely with cross-functional stakeholders to support evolving data requirements and improve existing data platforms.
Qualifications
Strong foundation in Data Engineering and experience building scalable data pipelines.
Proficiency in Data Modeling and designing structures that support analytics and reporting.
Hands-on experience with Extract Transform Load (ETL) processes and tools for robust data integration.
Practical knowledge of Data Warehousing concepts and implementation in modern platforms.
Ability to apply Data Analytics techniques to interpret data and support business decision-making.
Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
Familiarity with cloud data platforms and distributed data processing frameworks is an advantage.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Strong problem-solving mindset, attention to detail, and ability to collaborate in a multidisciplinary team environment.

Work arrangement
No

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