Data Engineer - Remote US at Seamless.AI

Seamless delivers the world’s best sales leads. We have been recognized as one of Ohio’s fastest growing companies and have been recently ranked No. 7 in LinkedIn's Top 50 Startups of 2022, featured in Forbes as #1 Software company in Ohio in 2022, and on G2’s “Top 100 Highest Satisfaction Products for 2022” list! We are seeking an experienced Data Engineer with a minimum of 3 years of experience in building data ingestion pipelines for large datasets. You'll need to be proficient in Python, AWS, and common frameworks used for data ingestion, transformation, and consolidation. The ideal candidate will be passionate about data, a strong team player, and have a continuous learning mentality. Responsibilities: - Design, develop and optimize data ingestion pipelines to handle real-time and batch data streams using a variety of sources. - Utilize your extensive knowledge of Python and AWS to engineer solutions for the transformation, consolidation, and storage of large datasets. - Collaborate with data scientists and other stakeholders to understand data needs and translate them into data systems and pipelines. - Enhance our data ecosystem by leveraging industry best practices for testing, deployment, and runtime environments. - Drive continuous improvements to data reliability, efficiency, and quality. - Document data architectures, procedures, and data flows, maintaining excellent communication with the team and stakeholders. - Monitor data systems performance, troubleshoot data issues, perform root cause analysis, and ensure the implementation of optimal solutions. - Participate in data governance and ensure adherence to data security and privacy standards.

Data Engineer - Remote US

Responsibilities

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mission:

Admin access needed