Live opening · Posted 17 days ago

Data Engineer

9th Direction Technology Solutions · Greater Chennai Area (On-site)
Linkedin No
You are 17 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 17 days ago
Company9th Direction Technology Solutions
LocationGreater Chennai Area (On-site)
Work modeNo
SourceLinkedin
Listed17 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
10 min from Linkedin publishing this role to us finding it
20 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
70,882 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

Company Description 9th Direction Technology Solutions is an enterprise-grade software engineering and technical consulting firm headquartered in Chennai, India. The company focuses on bridging the gap between high-cost tier-1 IT agencies and low-maturity development vendors by offering robust, scalable, and compliant technology solutions. Through a strategic remote hub-and-spoke model, 9th Direction maintains core architectural, data security, and UI/UX capabilities in Chennai while leveraging distributed development networks. Its services include onsite tech consultation, generative AI integrations, enterprise application engineering, cloud architecture strategy, and complex system migrations. The firm is committed to strict governance, technical quality assurance, and accessibility compliance, delivering intelligent and secure digital ecosystems for corporate enterprises and public sector clients.
Role Description:
Design, build, and maintain scalable data pipelines and architectures using Python and PySpark.
Write efficient, complex SQL scripts to support data integration, transformation, and querying needs.
Implement cloud infrastructure and data storage solutions natively on AWS services.
Explore and integrate Generative AI and Large Language Model (LLM) technologies into data workflows.
Collaborate with engineering, product, and business teams in Agile or Waterfall environments to deliver high-quality data solutions.
Monitor, optimize, and troubleshoot existing data pipelines to ensure high reliability and data quality.
Requirements
4–8 years of hands-on experience in Data Engineering.
Strong proficiency in Python, PySpark, and SQL scripting.
Solid understanding of core data engineering concepts, architectural patterns, and data modeling.
Strong hands-on experience developing within AWS cloud ecosystems.
Exposure to Generative AI and Large Language Models (LLMs) is a strong plus.
Demonstrated experience working effectively within Agile or Waterfall development methodologies.
Excellent communication, problem-solving, and cross-team collaboration skills.

Work arrangement
No

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App