Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile.
The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization.
We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market.
At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.
Role: Airflow data engineer Job Location: Remote Duration: 12+ Months Interview: Video
Job Description: We are looking for self-motivated and data-driven engineers, architects, and designers who desire to find solutions and make an impact at scale while collaborating with a distributed team of like-minded and highly skilled professionals.
Must have experience on Airflow, snowflake, python, AWS and API Consumption
5+ years of software development or data engineering experience in Python, Spark, Scala or equivalent technologies
Experience designing and building highly scalable data pipelines Airflow)
Knowledge and experience of working with large datasets (PB-scale)
Proven track record of working with cloud technologies (AWS)
Experience with developing or consuming web interfaces (REST API)
Experience with modern software development practices, leveraging CI/CD, and containerization such as Docker
Roles & Resposbilities.
Design, build and support scalable data pipelines, systems, and APIs for the AdTech and MarTech Data Platform
Use distributed computing frameworks and other cutting-edge technologies to support data ingestion at scale
Produce high-quality code that is robust, efficient, testable and easy to maintain
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.