Senior Data Engineer
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
Job Overview
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
