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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.
This role requires a blend of technical prowess, problem-solving skills, and a deep understanding of cloud technologies.
Key responsibilities include designing, developing, and maintaining ETL processes on AWS, collaborating with the infrastructure team to manage and optimize servers, continuously improving existing 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 like 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:
You will receive a fair and detailed assessment of your application by seasoned recruiting professionals.
The hiring process includes a video interview and the opportunity to meet the INFUSE team face-to-face or via Zoom.
If selected, you will have a conversation about your offer, ensuring you feel comfortable and welcomed as part of the team.