Data engineer

# We're Hiring Data Engineer (5–7 Years) Fulltime

Location: Remote

Interested can send their cvs to

Are you passionate about building scalable data platforms and solving complex data challenges? We're looking for a **Data Engineer** who thrives on working with modern data technologies, cloud platforms, and AI-driven solutions. If you enjoy designing efficient ETL pipelines, optimizing databases, and contributing to cloud transformation initiatives, we'd love to connect with you.

## What You'll Do

* Design, develop, and optimize ETL pipelines and data integration workflows.

* Write and optimize complex SQL queries, stored procedures, and database objects.

* Design and maintain relational database schemas and data models.

* Build and support ETL solutions using **SSIS** or equivalent ETL tools.

* Work with **MS SQL Server** or equivalent relational databases.

* Collaborate with cross-functional teams on cloud migration and data modernization projects.

* Develop automation scripts using **Python** to improve data processing and operational efficiency.

* Contribute to AI-enabled data products and explore emerging technologies, including **Model Context Protocol (MCP)**.

## What We're Looking For

* 5–7 years of experience in **Data Engineering**, **Database Development**, or a related field.

* Strong expertise in **SQL**, **Database Design**, and **Data Modelling**.

* 3–4+ years of hands-on experience with **SSIS** or any ETL tool.

* Experience with **MS SQL Server** or equivalent relational databases.

* Good understanding of ETL concepts and database optimization.

* Experience with **Python scripting**.

* Exposure to cloud technologies such as **Azure Data Factory (ADF)**, Azure SQL, or other cloud database platforms.

* Knowledge of AI-enabled data products or **MCP** is an added advantage.

## Why Join Us?

* Work on enterprise-scale cloud migration and modernization projects.

* Be part of exciting AI-driven data engineering initiatives.

* Collaborate with a talented and supportive engineering team.

* Learn, innovate, and make a real impact by building scalable data solutions.