Data Engineer
We are seeking a motivated Data Engineer with at least one year of experience to join our engineering team. In this role, you will build and maintain robust data pipelines that enable reliable data flow across our platforms.
You will work closely with data analysts and product engineers, translating business requirements into scalable data solutions using Python, SQL, and Pandas. Emphasis is placed on clean code, performance optimization, and adherence to data engineering best practices.
The ideal candidate thrives in a collaborative environment, is eager to learn emerging technologies such as Spark or Snowflake, and contributes to continuous improvement of our data infrastructure.
Experience
1+ years
Required Skills
What We're Looking For
- Design, develop, and maintain data pipelines using Python.
- Implement data transformation logic with Pandas DataFrames.
- Write efficient SQL queries for data extraction and manipulation.
- Apply object‑oriented programming principles to build reusable code modules.
- Collaborate with cross‑functional teams to understand data requirements and deliver solutions.
- Monitor pipeline performance and troubleshoot data quality issues.
- Document data models, processes, and technical specifications.
Good to have Skills
Qualifications
About the Company
Established in 2016, Valens Datalabs is a leading software development, data engineering and data science company, delivering innovative technology solutions across diverse domains, including Ecommerce, Human Resource, Customer Relations, Lead Generation, and CRM solutions. Specializing in AI/ML, data analytics, and product development, we partner with businesses to help them to design sustainable solutions as well as unlock the full potential of their data to drive growth. Our commitment to delivering scalable, high-quality solutions enables us to transform complex challenges into innovative solutions for clients across industries.
Ready to Apply?
Make your next career move now
Department
Engineering
Salary
Not disclosed
Location