Remote Senior Data Engineer at Resilient Co

Description:

The company is a fast-growing B2B SaaS company focused on helping major e-commerce businesses optimize their growth potential.
Their platform leverages advanced machine learning and data analytics to deliver actionable insights for over a hundred brands.
They are seeking a skilled Senior Data Engineer to join their dynamic team.
The Senior Data Engineer will play a crucial role in building and optimizing the data architecture to support data-driven decision-making.
Responsibilities include developing scalable data pipelines, enhancing data infrastructure, performing data modeling and analysis, and extracting valuable insights.
The role involves collaborating with different teams, designing data models, optimizing database performance, and ensuring data integrity and accessibility.
The Senior Data Engineer may engage in data science tasks and stay updated with emerging technologies and industry trends.

Expert knowledge of SQL and data modeling techniques.
Experience with big data technologies like AWS Kinesis, Amazon Redshift, GCP Dataflow, Apache Beam, and/or BigQuery.
Proficiency in programming languages such as Python.
Strong understanding of data lake and warehousing concepts and technologies.
Experience with cloud platforms like AWS, Google Cloud, or Azure.
Excellent communication and collaboration skills.
Proven track record of designing and implementing scalable data solutions.
Experience with data analysis and data science tasks is a plus.
Preferred: Certifications in AWS, Google Cloud, or relevant big data technologies.

Opportunity to work with a fast-growing B2B SaaS company.
Chance to contribute to major e-commerce businesses' growth potential.
Work with cutting-edge machine learning and data analytics technologies.
Collaborate with a dynamic team and lead the design of scalable data architectures.
Mentor and guide junior data engineers and provide technical leadership.
Stay updated with emerging technologies and industry trends.