Job Description

About the Client

Our client is a fast-growing technology-driven organization specializing in digital transformation, AI, and advanced data solutions. With a strong global presence across industries such as healthcare, education, and manufacturing, they are focused on delivering innovative and scalable solutions to drive business success.

We are seeking a highly skilled and experienced Senior Data Engineer to design, build, and optimize scalable data solutions. The ideal candidate will play a key role in developing robust data pipelines, supporting advanced analytics, and enabling machine learning initiatives in a fast-paced, technology-driven environment.

Responsibilities

• Design and deliver cloud-native data solutions across ingestion, storage, processing, orchestration, and monitoring layers.
• Develop, maintain, and optimize scalable ETL/ELT pipelines for multi-source data ingestion.
• Build and manage feature stores to support advanced analytics, particularly in healthcare-related use cases.
• Collaborate with data scientists and analytics teams to operationalize machine learning workflows.
• Ensure high performance, reliability, and scalability of production data platforms.
• Implement best practices in data quality, governance, and security.

Qualifications

• Minimum 5+ years of experience in data engineering, building complex data pipelines and architectures.
• Strong expertise in Python data ecosystem (including Pandas and NumPy).
• Advanced proficiency in SQL and relational databases.
• Hands-on experience with AWS data services and serverless architecture.
• Solid experience working in Linux environments and Bash scripting.
• Strong understanding of data quality, privacy, and governance principles.

Interested candidates may send their CV to jobs@mindplus.global