Senior Data Engineer

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.

Job Description

Must Have Skills :  (this should be the summary – cut through the one-page description into the must-haves)

6- 9 years experience

GCP

Python

SQL

Spark

Rally

PySpark

Hive

Functional Testing

Big Data

Key Responsibilities

Develop and maintain robust data pipelines using  Python ,  PySpark , and  SQL .

Design and optimize data workflows on  Google Cloud Platform (GCP) .

Implement and manage data storage solutions using  Hive  and other big data technologies.

Collaborate with cross-functional teams to understand data requirements and deliver solutions.

Conduct  functional testing  to ensure data accuracy and reliability.

Utilize  Rally  for agile project tracking and task management.

Ensure data quality, integrity, and security across all systems.

Required Skills & Qualifications

Proficiency in  Python ,  SQL , and  PySpark .

Hands-on experience with  Google Cloud Platform (GCP)  services.

Strong understanding of  Hive  and big data ecosystems.

Experience with  functional testing  in data engineering environments.

Familiarity with  Rally  or similar agile project management tools.

Bachelor’s degree in Computer Science, Engineering, or related field.