What would a typical day at your work be like : - You will lead and manage the delivery of projects and be responsible for the delivery of project and team goals.

- Build & support data ingestion and processing pipelines.

This will entail extract, load and transform of data from a wide variety of sources using latest data frameworks and technologies.

- Design, build, test, and maintain machine learning infrastructure and frameworks to empower data scientists to rapidly iterate on model development.

- Own and lead client engagement and communication on technical projects.

Define project scopes and track project progress and delivery.

- Plan and execute project architecture and allocate work to team.

- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume.

- Partner with software engineering teams to drive completion of multi-functional projects.

What Do We Expect : - Minimum 4 years of overall experience in data engineering and 2 years leading a team as team lead and doing project management.

- Experience working with a global team and remote clients.

- Hands-on experience in building data pipelines on various infrastructures.

- Knowledge of statistical and machine learning techniques.

- Hands on experience in integrating machine learning in data pipelines.

(ref:hirist.tech)