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Description:
As a Cloud Data Engineer at INFUSE, you will be responsible for designing, implementing, and maintaining robust ETL processes on AWS to support data-driven decision-making.
You will work closely with servers, integrate various web platforms, and perform data manipulations to ensure data is available, accurate, and actionable.
Key responsibilities include developing and maintaining ETL processes, collaborating with the infrastructure team for server management, continuously improving ETL processes, integrating data from different web platforms, performing data manipulations, collaborating with BI engineers and analysts, and creating comprehensive documentation of ETL processes.
Requirements:
You must have 3+ years of experience in data engineering with a focus on cloud technologies.
Proven experience with AWS services such as S3, Redshift, Glue, and Lambda is required.
Proficiency in SQL and experience with relational databases is necessary.
Hands-on experience with ETL tools and frameworks, such as Apache Airflow or Talend, is essential.
Strong scripting skills in Python, SQL, or other relevant programming languages are required.
Experience with the integration of various web platforms and APIs is necessary.
You should possess strong analytical and problem-solving skills, excellent communication and teamwork abilities, and be self-motivated to work independently with minimal supervision.
Benefits:
The position offers the opportunity to work remotely, providing flexibility in your work environment.
You will be part of a team that values human interaction during the hiring process, ensuring a fair and detailed assessment of your candidacy.
The company promotes a family-like culture, aiming to make you feel comfortable and welcomed as a team member.
You will have the chance to work with cutting-edge cloud technologies and improve your skills in data engineering and ETL processes.