Job Overview

Build the Future of Technology with Precision and Purpose

At Sphere IT, we believe in empowering people who combine clarity of thought with the courage to innovate.
Whether you’re engineering intelligent platforms or delivering complex enterprise transformations, your work here shapes industries.

Our teams work across AI, BFSI, government, and enterprise ecosystems — designing intelligent solutions that transform how businesses operate.
We’re not just building technology; we’re building impact, trust, and global excellence.

Role Overview

You’ll design and manage the data infrastructure that fuels our AI and analytics initiatives.
Your role ensures the availability, reliability, and quality of data that drives intelligent decisions across enterprises.

Key Responsibilities

• Build and optimize ETL/ELT pipelines and data architectures.
• Collaborate with ML and AI teams to operationalize models.
• Maintain data quality, lineage, and compliance.
• Automate data workflows and deploy scalable systems.

Ideal Candidate Profile

• 3–6 years of experience in data engineering.
• Skilled in Python, SQL, Airflow, and Azure Data Factory.
• Knowledge of cloud storage and streaming platforms.
• Analytical mindset with strong problem-solving ability.

What You’ll Get

• Access to enterprise-level AI and data transformation projects.
• Continuous learning through certifications and technical labs.
• Inclusive, innovation-driven environment.
• Impactful work across industries and geographies.